From d31b31799ee6a2e3d1fcf057e8faf6f0d90e3db1 Mon Sep 17 00:00:00 2001
From: Adam Pocock <adam.pocock@oracle.com>
Date: Sun, 5 Feb 2023 22:01:22 -0500
Subject: [PATCH 1/9] Removing readObject and writeObject methods.

---
 .../classification/ImmutableLabelInfo.java    |  6 --
 .../org/tribuo/classification/LabelInfo.java  |  7 ---
 .../dtree/impl/ClassifierTrainingNode.java    |  4 --
 .../sgd/linear/LinearSGDModel.java            | 10 ----
 .../clustering/hdbscan/HdbscanModel.java      | 17 +-----
 .../tribuo/clustering/kmeans/KMeansModel.java | 18 +-----
 .../org/tribuo/common/nearest/KNNModel.java   | 24 +-------
 .../tribuo/common/sgd/AbstractSGDModel.java   |  3 +-
 .../common/xgboost/XGBoostExternalModel.java  | 28 +---------
 .../tribuo/common/xgboost/XGBoostModel.java   | 55 +------------------
 .../main/java/org/tribuo/CategoricalInfo.java | 13 +----
 .../java/org/tribuo/hash/HashCodeHasher.java  |  9 +--
 .../org/tribuo/hash/MessageDigestHasher.java  | 15 +----
 .../org/tribuo/hash/ModHashCodeHasher.java    |  9 +--
 .../org/tribuo/test/MockMultiOutputInfo.java  | 11 +---
 .../java/org/tribuo/interop/oci/OCIModel.java | 24 ++------
 .../interop/onnx/ONNXExternalModel.java       | 19 ++-----
 .../tensorflow/TensorFlowCheckpointModel.java | 28 +---------
 .../TensorFlowFrozenExternalModel.java        | 21 +------
 .../tensorflow/TensorFlowNativeModel.java     | 27 +--------
 .../TensorFlowSavedModelExternalModel.java    | 13 +----
 .../sequence/TensorFlowSequenceModel.java     | 23 +-------
 .../multilabel/ImmutableMultiLabelInfo.java   |  7 +--
 .../org/tribuo/multilabel/MultiLabelInfo.java | 10 +---
 .../regression/ImmutableRegressionInfo.java   | 15 ++---
 .../liblinear/LibLinearRegressionModel.java   | 25 ++-------
 .../libsvm/LibSVMRegressionModel.java         | 31 +----------
 .../impl/JointRegressorTrainingNode.java      |  4 --
 .../rtree/impl/RegressorTrainingNode.java     |  4 --
 .../regression/sgd/linear/LinearSGDModel.java | 10 ----
 .../regression/slm/SparseLinearModel.java     | 39 +------------
 .../util/tokens/TokenizerTestWrapper.java     | 12 ----
 32 files changed, 58 insertions(+), 483 deletions(-)

diff --git a/Classification/Core/src/main/java/org/tribuo/classification/ImmutableLabelInfo.java b/Classification/Core/src/main/java/org/tribuo/classification/ImmutableLabelInfo.java
index daa1e463b..06f52ecab 100644
--- a/Classification/Core/src/main/java/org/tribuo/classification/ImmutableLabelInfo.java
+++ b/Classification/Core/src/main/java/org/tribuo/classification/ImmutableLabelInfo.java
@@ -303,10 +303,4 @@ public Pair<Integer, Label> next() {
             return new Pair<>(e.getKey(),new Label(e.getValue()));
         }
     }
-
-    private void readObject(java.io.ObjectInputStream in) throws IOException, ClassNotFoundException {
-        in.defaultReadObject();
-
-        domain = Collections.unmodifiableSet(new HashSet<>(labels.values()));
-    }
 }
diff --git a/Classification/Core/src/main/java/org/tribuo/classification/LabelInfo.java b/Classification/Core/src/main/java/org/tribuo/classification/LabelInfo.java
index c309ab786..99aff632a 100644
--- a/Classification/Core/src/main/java/org/tribuo/classification/LabelInfo.java
+++ b/Classification/Core/src/main/java/org/tribuo/classification/LabelInfo.java
@@ -176,11 +176,4 @@ public MutableOutputInfo<Label> generateMutableOutputInfo() {
     @Override
     public abstract LabelInfo copy();
 
-    private void readObject(java.io.ObjectInputStream in) throws IOException, ClassNotFoundException {
-        in.defaultReadObject();
-        labels = new HashMap<>();
-        for (Map.Entry<String,MutableLong> e : labelCounts.entrySet()) {
-            labels.put(e.getKey(),new Label(e.getKey()));
-        }
-    }
 }
diff --git a/Classification/DecisionTree/src/main/java/org/tribuo/classification/dtree/impl/ClassifierTrainingNode.java b/Classification/DecisionTree/src/main/java/org/tribuo/classification/dtree/impl/ClassifierTrainingNode.java
index a800aa9b2..cceca0d2f 100644
--- a/Classification/DecisionTree/src/main/java/org/tribuo/classification/dtree/impl/ClassifierTrainingNode.java
+++ b/Classification/DecisionTree/src/main/java/org/tribuo/classification/dtree/impl/ClassifierTrainingNode.java
@@ -432,8 +432,4 @@ private static ArrayList<TreeFeature> invertData(Dataset<Label> examples) {
         return data;
     }
 
-    private void writeObject(java.io.ObjectOutputStream stream)
-            throws IOException {
-        throw new NotSerializableException("ClassifierTrainingNode is a runtime class only, and should not be serialized.");
-    }
 }
\ No newline at end of file
diff --git a/Classification/SGD/src/main/java/org/tribuo/classification/sgd/linear/LinearSGDModel.java b/Classification/SGD/src/main/java/org/tribuo/classification/sgd/linear/LinearSGDModel.java
index e7483d00c..56ef277c2 100644
--- a/Classification/SGD/src/main/java/org/tribuo/classification/sgd/linear/LinearSGDModel.java
+++ b/Classification/SGD/src/main/java/org/tribuo/classification/sgd/linear/LinearSGDModel.java
@@ -171,14 +171,4 @@ protected String onnxModelName() {
         return "Classification-LinearSGDModel";
     }
 
-    private void readObject(java.io.ObjectInputStream in) throws IOException, ClassNotFoundException {
-        in.defaultReadObject();
-
-        // Bounce old 4.0 style models into the new 4.1 style models
-        if (weights != null && modelParameters == null) {
-            modelParameters = new LinearParameters(weights);
-            weights = null;
-            addBias = true;
-        }
-    }
 }
diff --git a/Clustering/Hdbscan/src/main/java/org/tribuo/clustering/hdbscan/HdbscanModel.java b/Clustering/Hdbscan/src/main/java/org/tribuo/clustering/hdbscan/HdbscanModel.java
index 2c6910e1d..44773b3a9 100644
--- a/Clustering/Hdbscan/src/main/java/org/tribuo/clustering/hdbscan/HdbscanModel.java
+++ b/Clustering/Hdbscan/src/main/java/org/tribuo/clustering/hdbscan/HdbscanModel.java
@@ -27,10 +27,10 @@
 import org.tribuo.Model;
 import org.tribuo.Prediction;
 import org.tribuo.clustering.ClusterID;
-import org.tribuo.clustering.hdbscan.HdbscanTrainer.Distance;
 import org.tribuo.clustering.hdbscan.protos.ClusterExemplarProto;
 import org.tribuo.clustering.hdbscan.protos.HdbscanModelProto;
 import org.tribuo.impl.ModelDataCarrier;
+import org.tribuo.math.distance.Distance;
 import org.tribuo.math.la.DenseVector;
 import org.tribuo.math.la.SGDVector;
 import org.tribuo.math.la.SparseVector;
@@ -73,12 +73,7 @@ public final class HdbscanModel extends Model<ClusterID> {
 
     private final DenseVector outlierScoresVector;
 
-    @Deprecated
-    private Distance distanceType;
-
-    // This is not final to support deserialization of older models. It will be final in a future version which doesn't
-    // maintain serialization compatibility with 4.X.
-    private org.tribuo.math.distance.Distance dist;
+    private final Distance dist;
 
     private final List<HdbscanTrainer.ClusterExemplar> clusterExemplars;
 
@@ -86,7 +81,7 @@ public final class HdbscanModel extends Model<ClusterID> {
 
     HdbscanModel(String name, ModelProvenance description, ImmutableFeatureMap featureIDMap,
                  ImmutableOutputInfo<ClusterID> outputIDInfo, List<Integer> clusterLabels, DenseVector outlierScoresVector,
-                 List<HdbscanTrainer.ClusterExemplar> clusterExemplars, org.tribuo.math.distance.Distance dist, double noisePointsOutlierScore) {
+                 List<HdbscanTrainer.ClusterExemplar> clusterExemplars, Distance dist, double noisePointsOutlierScore) {
         super(name,description,featureIDMap,outputIDInfo,false);
         this.clusterLabels = Collections.unmodifiableList(clusterLabels);
         this.outlierScoresVector = outlierScoresVector;
@@ -293,10 +288,4 @@ protected HdbscanModel copy(String newName, ModelProvenance newProvenance) {
             copyOutlierScoresVector, copyExemplars, dist, noisePointsOutlierScore);
     }
 
-    private void readObject(java.io.ObjectInputStream in) throws IOException, ClassNotFoundException {
-        in.defaultReadObject();
-        if (dist == null) {
-            dist = distanceType.getDistanceType().getDistance();
-        }
-    }
 }
diff --git a/Clustering/KMeans/src/main/java/org/tribuo/clustering/kmeans/KMeansModel.java b/Clustering/KMeans/src/main/java/org/tribuo/clustering/kmeans/KMeansModel.java
index 2b039d61f..335d041eb 100644
--- a/Clustering/KMeans/src/main/java/org/tribuo/clustering/kmeans/KMeansModel.java
+++ b/Clustering/KMeans/src/main/java/org/tribuo/clustering/kmeans/KMeansModel.java
@@ -27,9 +27,9 @@
 import org.tribuo.Model;
 import org.tribuo.Prediction;
 import org.tribuo.clustering.ClusterID;
-import org.tribuo.clustering.kmeans.KMeansTrainer.Distance;
 import org.tribuo.clustering.kmeans.protos.KMeansModelProto;
 import org.tribuo.impl.ModelDataCarrier;
+import org.tribuo.math.distance.Distance;
 import org.tribuo.math.la.DenseVector;
 import org.tribuo.math.la.SGDVector;
 import org.tribuo.math.la.SparseVector;
@@ -40,7 +40,6 @@
 import org.tribuo.protos.core.ModelProto;
 import org.tribuo.provenance.ModelProvenance;
 
-import java.io.IOException;
 import java.util.ArrayList;
 import java.util.Collections;
 import java.util.List;
@@ -72,15 +71,10 @@ public class KMeansModel extends Model<ClusterID> {
 
     private final DenseVector[] centroidVectors;
 
-    @Deprecated
-    private Distance distanceType;
-
-    // This is not final to support deserialization of older models. It will be final in a future version which doesn't
-    // maintain serialization compatibility with 4.X.
-    private org.tribuo.math.distance.Distance dist;
+    private final Distance dist;
 
     KMeansModel(String name, ModelProvenance description, ImmutableFeatureMap featureIDMap,
-                ImmutableOutputInfo<ClusterID> outputIDInfo, DenseVector[] centroidVectors, org.tribuo.math.distance.Distance dist) {
+                ImmutableOutputInfo<ClusterID> outputIDInfo, DenseVector[] centroidVectors, Distance dist) {
         super(name,description,featureIDMap,outputIDInfo,false);
         this.centroidVectors = centroidVectors;
         this.dist = dist;
@@ -241,10 +235,4 @@ protected KMeansModel copy(String newName, ModelProvenance newProvenance) {
         return new KMeansModel(newName,newProvenance,featureIDMap,outputIDInfo,newCentroids,dist);
     }
 
-    private void readObject(java.io.ObjectInputStream in) throws IOException, ClassNotFoundException {
-        in.defaultReadObject();
-        if (dist == null) {
-            dist = distanceType.getDistanceType().getDistance();
-        }
-    }
 }
diff --git a/Common/NearestNeighbour/src/main/java/org/tribuo/common/nearest/KNNModel.java b/Common/NearestNeighbour/src/main/java/org/tribuo/common/nearest/KNNModel.java
index f904b7d83..55deb92c7 100644
--- a/Common/NearestNeighbour/src/main/java/org/tribuo/common/nearest/KNNModel.java
+++ b/Common/NearestNeighbour/src/main/java/org/tribuo/common/nearest/KNNModel.java
@@ -27,24 +27,22 @@
 import org.tribuo.Model;
 import org.tribuo.Output;
 import org.tribuo.Prediction;
-import org.tribuo.common.nearest.KNNTrainer.Distance;
 import org.tribuo.common.nearest.protos.KNNModelProto;
 import org.tribuo.ensemble.EnsembleCombiner;
 import org.tribuo.impl.ModelDataCarrier;
+import org.tribuo.math.distance.Distance;
 import org.tribuo.math.la.DenseVector;
 import org.tribuo.math.la.SGDVector;
 import org.tribuo.math.la.SparseVector;
 import org.tribuo.math.la.Tensor;
 import org.tribuo.math.neighbour.NeighboursQuery;
 import org.tribuo.math.neighbour.NeighboursQueryFactory;
-import org.tribuo.math.neighbour.bruteforce.NeighboursBruteForceFactory;
 import org.tribuo.math.protos.TensorProto;
 import org.tribuo.protos.ProtoUtil;
 import org.tribuo.protos.core.ModelProto;
 import org.tribuo.protos.core.OutputProto;
 import org.tribuo.provenance.ModelProvenance;
 
-import java.io.IOException;
 import java.security.AccessController;
 import java.security.PrivilegedAction;
 import java.util.ArrayList;
@@ -108,12 +106,7 @@ public enum Backend {
     private final Pair<SGDVector,T>[] vectors;
 
     private final int k;
-    @Deprecated
-    private Distance distance;
-
-    // This is not final to support deserialization of older models. It will be final in a future version which doesn't
-    // maintain serialization compatibility with 4.X.
-    private org.tribuo.math.distance.Distance dist;
+    private final Distance dist;
 
     private final int numThreads;
 
@@ -128,7 +121,7 @@ public enum Backend {
     private transient NeighboursQuery neighboursQuery;
 
     KNNModel(String name, ModelProvenance provenance, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> outputIDInfo,
-             boolean generatesProbabilities, int k, org.tribuo.math.distance.Distance dist, int numThreads, EnsembleCombiner<T> combiner,
+             boolean generatesProbabilities, int k, Distance dist, int numThreads, EnsembleCombiner<T> combiner,
              Pair<SGDVector,T>[] vectors, Backend backend, NeighboursQueryFactory neighboursQueryFactory) {
         super(name,provenance,featureIDMap,outputIDInfo,generatesProbabilities);
         this.k = k;
@@ -523,17 +516,6 @@ protected KNNModel<T> copy(String newName, ModelProvenance newProvenance) {
             numThreads,combiner,vectorCopy,parallelBackend,neighboursQueryFactory);
     }
 
-    private void readObject(java.io.ObjectInputStream in) throws IOException, ClassNotFoundException {
-        in.defaultReadObject();
-        if (dist == null) {
-            dist = distance.getDistanceType().getDistance();
-        }
-        if (neighboursQueryFactory == null) {
-            neighboursQueryFactory = new NeighboursBruteForceFactory(dist, numThreads);
-        }
-        neighboursQuery = neighboursQueryFactory.createNeighboursQuery(getSGDVectorArr());
-    }
-
     private SGDVector[] getSGDVectorArr() {
         SGDVector[] sgdVectors = new SGDVector[vectors.length];
         int n = 0;
diff --git a/Common/SGD/src/main/java/org/tribuo/common/sgd/AbstractSGDModel.java b/Common/SGD/src/main/java/org/tribuo/common/sgd/AbstractSGDModel.java
index 1cd5a132d..0ea0e7760 100644
--- a/Common/SGD/src/main/java/org/tribuo/common/sgd/AbstractSGDModel.java
+++ b/Common/SGD/src/main/java/org/tribuo/common/sgd/AbstractSGDModel.java
@@ -43,8 +43,7 @@ public abstract class AbstractSGDModel<T extends Output<T>> extends Model<T> {
     /**
      * The weights for this model.
      */
-    // Note this is not final to allow backwards compatibility for 4.0 models which need to rewrite the field on load.
-    protected FeedForwardParameters modelParameters;
+    protected final FeedForwardParameters modelParameters;
 
     // Defaults to true for backwards compatibility with 4.0 models, not final due to this defaulting.
     protected boolean addBias = true;
diff --git a/Common/XGBoost/src/main/java/org/tribuo/common/xgboost/XGBoostExternalModel.java b/Common/XGBoost/src/main/java/org/tribuo/common/xgboost/XGBoostExternalModel.java
index b88cc39b0..ddf7be948 100644
--- a/Common/XGBoost/src/main/java/org/tribuo/common/xgboost/XGBoostExternalModel.java
+++ b/Common/XGBoost/src/main/java/org/tribuo/common/xgboost/XGBoostExternalModel.java
@@ -46,11 +46,8 @@
 import org.tribuo.provenance.ModelProvenance;
 import org.tribuo.util.Util;
 
-import java.io.ByteArrayInputStream;
 import java.io.File;
 import java.io.IOException;
-import java.io.ObjectInputStream;
-import java.io.ObjectOutputStream;
 import java.net.MalformedURLException;
 import java.net.URL;
 import java.nio.file.Files;
@@ -106,10 +103,7 @@ public final class XGBoostExternalModel<T extends Output<T>> extends ExternalMod
 
     private final XGBoostOutputConverter<T> converter;
 
-    /**
-     * Transient as we rely upon the native serialisation mechanism to bytes rather than Java serializing the Booster.
-     */
-    protected transient Booster model;
+    private final Booster model;
 
     private XGBoostExternalModel(String name, ModelProvenance provenance,
                                  ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> outputIDInfo,
@@ -386,24 +380,4 @@ private static <T extends Output<T>> XGBoostExternalModel<T> createXGBoostModel(
                 featureMapping,model,outputFunc);
     }
 
-    private void writeObject(ObjectOutputStream out) throws IOException {
-        out.defaultWriteObject();
-        try {
-            byte[] serialisedBooster = model.toByteArray();
-            out.writeObject(serialisedBooster);
-        } catch (XGBoostError e) {
-            throw new IOException("Failed to serialize the XGBoost model",e);
-        }
-    }
-
-    private void readObject(ObjectInputStream in) throws IOException, ClassNotFoundException {
-        in.defaultReadObject();
-        try {
-            // Now read in the byte array and rebuild the Booster
-            byte[] serialisedBooster = (byte[]) in.readObject();
-            model = XGBoost.loadModel(new ByteArrayInputStream(serialisedBooster));
-        } catch (XGBoostError e) {
-            throw new IOException("Failed to deserialize the XGBoost model",e);
-        }
-    }
 }
diff --git a/Common/XGBoost/src/main/java/org/tribuo/common/xgboost/XGBoostModel.java b/Common/XGBoost/src/main/java/org/tribuo/common/xgboost/XGBoostModel.java
index 931f39c36..52f9bc282 100644
--- a/Common/XGBoost/src/main/java/org/tribuo/common/xgboost/XGBoostModel.java
+++ b/Common/XGBoost/src/main/java/org/tribuo/common/xgboost/XGBoostModel.java
@@ -95,13 +95,10 @@ public final class XGBoostModel<T extends Output<T>> extends Model<T> {
 
     private final XGBoostOutputConverter<T> converter;
 
-    // Used to signal if the model has been rewritten to fix the issue with multidimensional XGBoost regression models in 4.0 and 4.1.0.
-    private boolean regression41MappingFix;
-
     /**
      * The XGBoost4J Boosters.
      */
-    protected transient List<Booster> models;
+    private final List<Booster> models;
 
     XGBoostModel(String name, ModelProvenance description,
                  ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> labelIDMap,
@@ -109,7 +106,6 @@ public final class XGBoostModel<T extends Output<T>> extends Model<T> {
         super(name,description,featureIDMap,labelIDMap,converter.generatesProbabilities());
         this.converter = converter;
         this.models = models;
-        this.regression41MappingFix = true;
     }
 
     /**
@@ -362,53 +358,4 @@ public ModelProto serialize() {
         return builder.build();
     }
 
-    private void writeObject(ObjectOutputStream out) throws IOException {
-        out.defaultWriteObject();
-        try {
-            out.writeInt(models.size());
-            for (Booster model : models) {
-                byte[] serialisedBooster = model.toByteArray();
-                out.writeObject(serialisedBooster);
-            }
-        } catch (XGBoostError e) {
-            throw new IOException("Failed to serialize the XGBoost model",e);
-        }
-    }
-
-    private void readObject(ObjectInputStream in) throws IOException, ClassNotFoundException {
-        in.defaultReadObject();
-        try {
-            this.models = new ArrayList<>();
-            int numModels = in.readInt();
-            for (int i = 0; i < numModels; i++) {
-                // Now read in the byte array and rebuild each Booster
-                byte[] serialisedBooster = (byte[]) in.readObject();
-                this.models.add(XGBoost.loadModel(serialisedBooster));
-            }
-            try {
-                Class<?> regressionClass = Class.forName("org.tribuo.regression.ImmutableRegressionInfo");
-                String tribuoVersion = (String) provenance.getTrainerProvenance().getInstanceValues().get(TrainerProvenance.TRIBUO_VERSION_STRING).getValue();
-                if (regressionClass.isInstance(outputIDInfo) && !regression41MappingFix &&
-                        (tribuoVersion.startsWith("4.0.0") || tribuoVersion.startsWith("4.0.1") || tribuoVersion.startsWith("4.0.2") || tribuoVersion.startsWith("4.1.0")
-                                // This is explicit to catch the test model which has a 4.1.1-SNAPSHOT Tribuo version.
-                                || tribuoVersion.equals("4.1.1-SNAPSHOT"))) {
-                    // rewrite the model stream
-                    regression41MappingFix = true;
-                    int[] mapping = (int[]) regressionClass.getDeclaredMethod("getIDtoNaturalOrderMapping").invoke(outputIDInfo);
-                    List<Booster> copy = new ArrayList<>(models);
-                    for (int i = 0; i < mapping.length; i++) {
-                        copy.set(i,models.get(mapping[i]));
-                    }
-                    this.models = copy;
-                }
-            } catch (NoSuchMethodException | IllegalAccessException | InvocationTargetException e) {
-                throw new RuntimeException("Failed to rewrite 4.1.0 or earlier regression model due to a reflection failure.",e);
-            } catch (ClassNotFoundException e) {
-                // pass as this isn't a regression model as otherwise it would have thrown ClassNotFoundException
-                // during the reading of the input stream.
-            }
-        } catch (XGBoostError e) {
-            throw new IOException("Failed to deserialize the XGBoost model",e);
-        }
-    }
 }
diff --git a/Core/src/main/java/org/tribuo/CategoricalInfo.java b/Core/src/main/java/org/tribuo/CategoricalInfo.java
index 815fa9c29..ca34ddcdc 100644
--- a/Core/src/main/java/org/tribuo/CategoricalInfo.java
+++ b/Core/src/main/java/org/tribuo/CategoricalInfo.java
@@ -28,7 +28,6 @@
 import org.tribuo.protos.core.VariableInfoProto;
 import org.tribuo.util.Util;
 
-import java.io.IOException;
 import java.util.Arrays;
 import java.util.Comparator;
 import java.util.HashMap;
@@ -95,15 +94,15 @@ public class CategoricalInfo extends SkeletalVariableInfo {
     /**
      * The values array.
      */
-    protected transient double[] values = null;
+    protected double[] values = null;
     /**
      * The total number of observations (including zeros).
      */
-    protected transient long totalObservations = -1;
+    protected long totalObservations = -1;
     /**
      * The CDF to sample from.
      */
-    protected transient double[] cdf = null;
+    protected double[] cdf = null;
 
     /**
      * Constructs a new empty categorical info for the supplied feature name.
@@ -483,10 +482,4 @@ public String toString() {
         }
     }
 
-    private void readObject(java.io.ObjectInputStream in) throws IOException, ClassNotFoundException {
-        in.defaultReadObject();
-        totalObservations = -1;
-        values = null;
-        cdf = null;
-    }
 }
diff --git a/Core/src/main/java/org/tribuo/hash/HashCodeHasher.java b/Core/src/main/java/org/tribuo/hash/HashCodeHasher.java
index fd7a2a522..93a3315a2 100644
--- a/Core/src/main/java/org/tribuo/hash/HashCodeHasher.java
+++ b/Core/src/main/java/org/tribuo/hash/HashCodeHasher.java
@@ -26,8 +26,6 @@
 import org.tribuo.protos.ProtoSerializableClass;
 import org.tribuo.protos.ProtoUtil;
 
-import java.io.IOException;
-import java.io.ObjectInputStream;
 import java.util.Collections;
 import java.util.Map;
 import java.util.Objects;
@@ -48,7 +46,7 @@ public final class HashCodeHasher extends Hasher {
     public static final int CURRENT_VERSION = 0;
 
     @Config(mandatory = true, redact = true, description="Salt used in the hash.")
-    private transient String salt = null;
+    private String salt = null;
 
     private static final HashCodeHasherProvenance provenance = new HashCodeHasherProvenance();
 
@@ -144,11 +142,6 @@ public int hashCode() {
         return Objects.hash(salt);
     }
 
-    private void readObject(ObjectInputStream in) throws IOException, ClassNotFoundException {
-        in.defaultReadObject();
-        salt = null;
-    }
-
     /**
      * Provenance for the {@link HashCodeHasher}.
      */
diff --git a/Core/src/main/java/org/tribuo/hash/MessageDigestHasher.java b/Core/src/main/java/org/tribuo/hash/MessageDigestHasher.java
index 997fe422d..4c3d859b3 100644
--- a/Core/src/main/java/org/tribuo/hash/MessageDigestHasher.java
+++ b/Core/src/main/java/org/tribuo/hash/MessageDigestHasher.java
@@ -30,8 +30,6 @@
 import org.tribuo.protos.core.HasherProto;
 import org.tribuo.protos.core.MessageDigestHasherProto;
 
-import java.io.IOException;
-import java.io.ObjectInputStream;
 import java.nio.charset.Charset;
 import java.nio.charset.StandardCharsets;
 import java.security.MessageDigest;
@@ -69,15 +67,15 @@ public final class MessageDigestHasher extends Hasher {
     @ProtoSerializableField
     private String hashType;
 
-    private transient ThreadLocal<MessageDigest> md;
+    private ThreadLocal<MessageDigest> md;
 
     /**
      * Only used by olcut.
      */
     @Config(mandatory = true,description="Salt used in the hash.",redact=true)
-    private transient String saltStr = null;
+    private String saltStr = null;
 
-    private transient byte[] salt = null;
+    private byte[] salt = null;
 
     private MessageDigestHasherProvenance provenance;
 
@@ -173,13 +171,6 @@ public void setSalt(String salt) {
         }
     }
 
-    private void readObject(ObjectInputStream in) throws IOException, ClassNotFoundException {
-        in.defaultReadObject();
-        salt = null;
-        saltStr = null;
-        md = ThreadLocal.withInitial(getDigestSupplier(hashType));
-    }
-
     @Override
     public String toString() {
         return "MessageDigestHasher(algorithm="+md.get().getAlgorithm()+")";
diff --git a/Core/src/main/java/org/tribuo/hash/ModHashCodeHasher.java b/Core/src/main/java/org/tribuo/hash/ModHashCodeHasher.java
index df9d97c76..4a1b68de5 100644
--- a/Core/src/main/java/org/tribuo/hash/ModHashCodeHasher.java
+++ b/Core/src/main/java/org/tribuo/hash/ModHashCodeHasher.java
@@ -31,8 +31,6 @@
 import org.tribuo.protos.core.HasherProto;
 import org.tribuo.protos.core.ModHashCodeHasherProto;
 
-import java.io.IOException;
-import java.io.ObjectInputStream;
 import java.util.HashMap;
 import java.util.Map;
 import java.util.Objects;
@@ -55,7 +53,7 @@ public final class ModHashCodeHasher extends Hasher {
     static final String DIMENSION = "dimension";
 
     @Config(mandatory = true,redact = true,description="Salt used in the hash.")
-    private transient String salt = null;
+    private String salt = null;
 
     @ProtoSerializableField
     @Config(mandatory = true,description="Range of the hashing function.")
@@ -171,11 +169,6 @@ public int hashCode() {
         return Objects.hash(salt, dimension);
     }
 
-    private void readObject(ObjectInputStream in) throws IOException, ClassNotFoundException {
-        in.defaultReadObject();
-        salt = null;
-    }
-
     /**
      * Provenance for the {@link ModHashCodeHasher}.
      */
diff --git a/Core/src/test/java/org/tribuo/test/MockMultiOutputInfo.java b/Core/src/test/java/org/tribuo/test/MockMultiOutputInfo.java
index 2020e3e76..336525a96 100644
--- a/Core/src/test/java/org/tribuo/test/MockMultiOutputInfo.java
+++ b/Core/src/test/java/org/tribuo/test/MockMultiOutputInfo.java
@@ -27,7 +27,6 @@
 import org.tribuo.protos.core.OutputDomainProto;
 import org.tribuo.test.protos.MockOutputInfoProto;
 
-import java.io.IOException;
 import java.util.HashMap;
 import java.util.HashSet;
 import java.util.Iterator;
@@ -43,7 +42,7 @@ public class MockMultiOutputInfo implements OutputInfo<MockMultiOutput>, Immutab
 
     protected final Map<String, MutableLong> labelCounts;
     protected int unknownCount = 0;
-    protected transient Map<String,MockMultiOutput> labels;
+    protected Map<String,MockMultiOutput> labels;
 
     protected int totalCount = 0;
 
@@ -335,12 +334,4 @@ public Pair<Integer, MockMultiOutput> next() {
         }
     }
 
-    private void readObject(java.io.ObjectInputStream in) throws IOException, ClassNotFoundException {
-        in.defaultReadObject();
-        labels = new HashMap<>();
-        for (Map.Entry<String,MutableLong> e : labelCounts.entrySet()) {
-            labels.put(e.getKey(),new MockMultiOutput(e.getKey()));
-        }
-    }
-
 }
\ No newline at end of file
diff --git a/Interop/OCI/src/main/java/org/tribuo/interop/oci/OCIModel.java b/Interop/OCI/src/main/java/org/tribuo/interop/oci/OCIModel.java
index 72d8a64c9..7983e1545 100644
--- a/Interop/OCI/src/main/java/org/tribuo/interop/oci/OCIModel.java
+++ b/Interop/OCI/src/main/java/org/tribuo/interop/oci/OCIModel.java
@@ -94,11 +94,11 @@ public final class OCIModel<T extends Output<T>> extends ExternalModel<T, DenseM
     private final OCIOutputConverter<T> outputConverter;
 
     // Derived state
-    private transient AuthenticationDetailsProvider authProvider;
-    private transient RequestSigningFilter requestSigningFilter;
-    private transient Client jerseyClient;
-    private transient WebTarget modelEndpoint;
-    private transient ObjectMapper mapper;
+    private final AuthenticationDetailsProvider authProvider;
+    private final RequestSigningFilter requestSigningFilter;
+    private final Client jerseyClient;
+    private final WebTarget modelEndpoint;
+    private final ObjectMapper mapper;
 
     /**
      * Construct an OCIModel wrapping an OCI DS Model Deployment endpoint.
@@ -327,20 +327,6 @@ public ModelProto serialize() {
         return builder.build();
     }
 
-    private void readObject(java.io.ObjectInputStream in) throws IOException, ClassNotFoundException {
-        in.defaultReadObject();
-        // Pre-Requirement: Allow setting of restricted headers. This is required to allow the SigningFilter
-        // to set the host header that gets computed during signing of the request.
-        System.setProperty("sun.net.http.allowRestrictedHeaders", "true");
-
-        // Rebuild transient state
-        this.authProvider = makeAuthProvider(configFile,profileName);
-        this.mapper = new ObjectMapper();
-        this.requestSigningFilter = RequestSigningFilter.fromAuthProvider(authProvider);
-        this.jerseyClient = ClientBuilder.newBuilder().build().register(requestSigningFilter);
-        this.modelEndpoint = jerseyClient.target(endpointURL + modelDeploymentId).path("predict");
-    }
-
     /**
      * Carrier type for easy deserialization from JSON.
      */
diff --git a/Interop/ONNX/src/main/java/org/tribuo/interop/onnx/ONNXExternalModel.java b/Interop/ONNX/src/main/java/org/tribuo/interop/onnx/ONNXExternalModel.java
index be9ca70c6..57647a350 100644
--- a/Interop/ONNX/src/main/java/org/tribuo/interop/onnx/ONNXExternalModel.java
+++ b/Interop/ONNX/src/main/java/org/tribuo/interop/onnx/ONNXExternalModel.java
@@ -82,11 +82,11 @@ public final class ONNXExternalModel<T extends Output<T>> extends ExternalModel<
      */
     public static final int CURRENT_VERSION = 0;
 
-    private transient OrtEnvironment env;
+    private final OrtEnvironment env;
 
-    private transient OrtSession.SessionOptions options;
+    private OrtSession.SessionOptions options;
 
-    private transient OrtSession session;
+    private OrtSession session;
 
     private final byte[] modelArray;
 
@@ -180,7 +180,7 @@ public synchronized void rebuild(OrtSession.SessionOptions newOptions) throws Or
             options.close();
         }
         options = newOptions;
-        env.createSession(modelArray, newOptions);
+        session = env.createSession(modelArray, newOptions);
     }
 
     @Override
@@ -437,15 +437,4 @@ public static <T extends Output<T>> ONNXExternalModel<T> createOnnxModel(OutputF
         }
     }
 
-    private void readObject(java.io.ObjectInputStream in) throws IOException, ClassNotFoundException {
-        in.defaultReadObject();
-        try {
-            this.env = OrtEnvironment.getEnvironment();
-            this.options = new OrtSession.SessionOptions();
-            this.session = env.createSession(modelArray, options);
-        } catch (OrtException e) {
-            throw new IllegalStateException("Could not construct ONNX Runtime session during deserialization.");
-        }
-    }
-
 }
diff --git a/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/TensorFlowCheckpointModel.java b/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/TensorFlowCheckpointModel.java
index bbab31146..9ca5c4228 100644
--- a/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/TensorFlowCheckpointModel.java
+++ b/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/TensorFlowCheckpointModel.java
@@ -30,12 +30,10 @@
 import org.tribuo.protos.ProtoUtil;
 import org.tribuo.protos.core.ModelProto;
 import org.tribuo.provenance.ModelProvenance;
-import org.tensorflow.Graph;
 import org.tensorflow.Session;
 import org.tensorflow.Tensor;
 
 import java.io.Closeable;
-import java.io.IOException;
 import java.nio.file.Paths;
 import java.util.Map;
 import java.util.logging.Level;
@@ -210,6 +208,9 @@ protected TensorFlowCheckpointModel<T> copy(String newName, ModelProvenance newP
 
     @Override
     public ModelProto serialize() {
+        if (closed) {
+            throw new IllegalStateException("Can't serialize a closed model, the state has gone.");
+        }
         ModelDataCarrier<T> carrier = createDataCarrier();
 
         TensorFlowCheckpointModelProto.Builder modelBuilder = TensorFlowCheckpointModelProto.newBuilder();
@@ -230,27 +231,4 @@ public ModelProto serialize() {
         return builder.build();
     }
 
-    private void writeObject(java.io.ObjectOutputStream out) throws IOException {
-        if (closed) {
-            throw new IllegalStateException("Can't serialize a closed model, the state has gone.");
-        }
-        out.defaultWriteObject();
-        byte[] modelBytes = modelGraph.toGraphDef().toByteArray();
-        out.writeObject(modelBytes);
-    }
-
-    private void readObject(java.io.ObjectInputStream in) throws IOException, ClassNotFoundException {
-        in.defaultReadObject();
-        byte[] modelBytes = (byte[]) in.readObject();
-        this.modelGraph = new Graph();
-        this.modelGraph.importGraphDef(GraphDef.parseFrom(modelBytes));
-        this.session = new Session(modelGraph);
-
-        try {
-            session.restore(resolvePath());
-            initialized = true;
-        } catch (TensorFlowException e) {
-            logger.log(Level.WARNING, "Failed to initialise model after deserialization, attempted to load from " + checkpointDirectory, e);
-        }
-    }
 }
diff --git a/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/TensorFlowFrozenExternalModel.java b/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/TensorFlowFrozenExternalModel.java
index dc1e9bbd4..8dd7796f5 100644
--- a/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/TensorFlowFrozenExternalModel.java
+++ b/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/TensorFlowFrozenExternalModel.java
@@ -71,17 +71,14 @@ public final class TensorFlowFrozenExternalModel<T extends Output<T>> extends Ex
      */
     public static final int CURRENT_VERSION = 0;
 
-    private transient Graph model;
+    private final Graph model;
 
-    private transient Session session;
+    private final Session session;
 
     private final FeatureConverter featureConverter;
 
     private final OutputConverter<T> outputConverter;
 
-    @Deprecated // unused as the input name is in the feature converter
-    private final String inputName = "";
-
     private final String outputName;
 
     private TensorFlowFrozenExternalModel(String name, ModelProvenance provenance,
@@ -285,18 +282,4 @@ public static <T extends Output<T>> TensorFlowFrozenExternalModel<T> createTenso
         }
     }
 
-    private void writeObject(java.io.ObjectOutputStream out) throws IOException {
-        out.defaultWriteObject();
-        GraphDef modelBytes = model.toGraphDef();
-        out.writeObject(modelBytes.toByteArray());
-    }
-
-    private void readObject(java.io.ObjectInputStream in) throws IOException, ClassNotFoundException {
-        in.defaultReadObject();
-        byte[] modelBytes = (byte[]) in.readObject();
-        model = new Graph();
-        model.importGraphDef(GraphDef.parseFrom(modelBytes));
-        session = new Session(model);
-    }
-
 }
diff --git a/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/TensorFlowNativeModel.java b/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/TensorFlowNativeModel.java
index 69f80cd49..e9be794e5 100644
--- a/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/TensorFlowNativeModel.java
+++ b/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/TensorFlowNativeModel.java
@@ -19,8 +19,6 @@
 import com.google.protobuf.Any;
 import com.google.protobuf.ByteString;
 import com.google.protobuf.InvalidProtocolBufferException;
-import org.tensorflow.Graph;
-import org.tensorflow.Session;
 import org.tensorflow.Tensor;
 import org.tensorflow.proto.GraphDef;
 import org.tribuo.ImmutableFeatureMap;
@@ -34,7 +32,6 @@
 import org.tribuo.protos.core.ModelProto;
 import org.tribuo.provenance.ModelProvenance;
 
-import java.io.IOException;
 import java.nio.file.Paths;
 import java.util.HashMap;
 import java.util.Map;
@@ -122,6 +119,9 @@ public TensorFlowCheckpointModel<T> convertToCheckpointModel(String checkpointDi
 
     @Override
     public ModelProto serialize() {
+        if (closed) {
+            throw new IllegalStateException("Can't serialize a closed model, the state has gone.");
+        }
         ModelDataCarrier<T> carrier = createDataCarrier();
         Map<String, TensorTupleProto> tensors = new HashMap<>();
         for (Map.Entry<String, TensorFlowUtil.TensorTuple> e : TensorFlowUtil.extractMarshalledVariables(modelGraph, session).entrySet()) {
@@ -145,25 +145,4 @@ public ModelProto serialize() {
         return builder.build();
     }
 
-    private void writeObject(java.io.ObjectOutputStream out) throws IOException {
-        if (closed) {
-            throw new IllegalStateException("Can't serialize a closed model, the state has gone.");
-        }
-        out.defaultWriteObject();
-        byte[] modelBytes = modelGraph.toGraphDef().toByteArray();
-        out.writeObject(modelBytes);
-        Map<String, TensorFlowUtil.TensorTuple> tensorMap = TensorFlowUtil.extractMarshalledVariables(modelGraph, session);
-        out.writeObject(tensorMap);
-    }
-
-    @SuppressWarnings("unchecked") //deserialising a typed map
-    private void readObject(java.io.ObjectInputStream in) throws IOException, ClassNotFoundException {
-        in.defaultReadObject();
-        byte[] modelBytes = (byte[]) in.readObject();
-        Map<String, TensorFlowUtil.TensorTuple> tensorMap = (Map<String, TensorFlowUtil.TensorTuple>) in.readObject();
-        modelGraph = new Graph();
-        modelGraph.importGraphDef(GraphDef.parseFrom(modelBytes));
-        session = new Session(modelGraph);
-        TensorFlowUtil.restoreMarshalledVariables(session,tensorMap);
-    }
 }
diff --git a/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/TensorFlowSavedModelExternalModel.java b/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/TensorFlowSavedModelExternalModel.java
index 1e9bc87dc..44a763b47 100644
--- a/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/TensorFlowSavedModelExternalModel.java
+++ b/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/TensorFlowSavedModelExternalModel.java
@@ -72,7 +72,7 @@ public final class TensorFlowSavedModelExternalModel<T extends Output<T>> extend
 
     private final String modelDirectory;
 
-    private transient SavedModelBundle bundle;
+    private final SavedModelBundle bundle;
 
     private final FeatureConverter featureConverter;
 
@@ -327,15 +327,4 @@ public static <T extends Output<T>> TensorFlowSavedModelExternalModel<T> createT
         }
     }
 
-    private void readObject(java.io.ObjectInputStream in) throws IOException, ClassNotFoundException {
-        in.defaultReadObject();
-        SavedModelBundle.Loader loader = SavedModelBundle.loader(modelDirectory);
-        // For models before 4.3.2
-        if (tags == null) {
-            tags = new String[]{SavedModelBundle.DEFAULT_TAG};
-        }
-        loader.withTags(tags);
-        bundle = loader.load();
-    }
-
 }
diff --git a/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/sequence/TensorFlowSequenceModel.java b/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/sequence/TensorFlowSequenceModel.java
index 9c545c12a..8184d6903 100644
--- a/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/sequence/TensorFlowSequenceModel.java
+++ b/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/sequence/TensorFlowSequenceModel.java
@@ -39,7 +39,6 @@
 import org.tensorflow.Session;
 import org.tensorflow.Tensor;
 
-import java.io.IOException;
 import java.util.Collections;
 import java.util.HashMap;
 import java.util.List;
@@ -59,8 +58,8 @@ public class TensorFlowSequenceModel<T extends Output<T>> extends SequenceModel<
      */
     public static final int CURRENT_VERSION = 0;
 
-    private transient Graph modelGraph = null;
-    private transient Session session = null;
+    private final Graph modelGraph;
+    private final Session session;
 
     protected final SequenceFeatureConverter featureConverter;
     protected final SequenceOutputConverter<T> outputConverter;
@@ -182,22 +181,4 @@ public SequenceModelProto serialize() {
         return builder.build();
     }
 
-    private void writeObject(java.io.ObjectOutputStream out) throws IOException {
-        out.defaultWriteObject();
-        byte[] modelBytes = modelGraph.toGraphDef().toByteArray();
-        out.writeObject(modelBytes);
-        Map<String, TensorFlowUtil.TensorTuple> tensorMap = TensorFlowUtil.extractMarshalledVariables(modelGraph, session);
-        out.writeObject(tensorMap);
-    }
-
-    @SuppressWarnings("unchecked") //deserialising a typed map
-    private void readObject(java.io.ObjectInputStream in) throws IOException, ClassNotFoundException {
-        in.defaultReadObject();
-        byte[] modelBytes = (byte[]) in.readObject();
-        Map<String, TensorFlowUtil.TensorTuple> tensorMap = (Map<String, TensorFlowUtil.TensorTuple>) in.readObject();
-        modelGraph = new Graph();
-        modelGraph.importGraphDef(GraphDef.parseFrom(modelBytes));
-        session = new Session(modelGraph);
-        TensorFlowUtil.restoreMarshalledVariables(session,tensorMap);
-    }
 }
\ No newline at end of file
diff --git a/MultiLabel/Core/src/main/java/org/tribuo/multilabel/ImmutableMultiLabelInfo.java b/MultiLabel/Core/src/main/java/org/tribuo/multilabel/ImmutableMultiLabelInfo.java
index 0b16bdd01..3e46a6afd 100644
--- a/MultiLabel/Core/src/main/java/org/tribuo/multilabel/ImmutableMultiLabelInfo.java
+++ b/MultiLabel/Core/src/main/java/org/tribuo/multilabel/ImmutableMultiLabelInfo.java
@@ -24,7 +24,6 @@
 import org.tribuo.multilabel.protos.ImmutableMultiLabelInfoProto;
 import org.tribuo.protos.core.OutputDomainProto;
 
-import java.io.IOException;
 import java.util.Collections;
 import java.util.HashMap;
 import java.util.HashSet;
@@ -47,7 +46,7 @@ public class ImmutableMultiLabelInfo extends MultiLabelInfo implements Immutable
 
     private final Map<String,Integer> labelIDMap;
 
-    private transient Set<MultiLabel> domain;
+    private final Set<MultiLabel> domain;
 
     private ImmutableMultiLabelInfo(ImmutableMultiLabelInfo info) {
         super(info);
@@ -301,8 +300,4 @@ public Pair<Integer, MultiLabel> next() {
         }
     }
 
-    private void readObject(java.io.ObjectInputStream in) throws IOException, ClassNotFoundException {
-        in.defaultReadObject();
-        domain = Collections.unmodifiableSet(new HashSet<>(labels.values()));
-    }
 }
diff --git a/MultiLabel/Core/src/main/java/org/tribuo/multilabel/MultiLabelInfo.java b/MultiLabel/Core/src/main/java/org/tribuo/multilabel/MultiLabelInfo.java
index 5316dfa7c..1d8737021 100644
--- a/MultiLabel/Core/src/main/java/org/tribuo/multilabel/MultiLabelInfo.java
+++ b/MultiLabel/Core/src/main/java/org/tribuo/multilabel/MultiLabelInfo.java
@@ -26,7 +26,6 @@
 import org.tribuo.protos.ProtoSerializableField;
 import org.tribuo.protos.ProtoSerializableKeysValuesField;
 
-import java.io.IOException;
 import java.util.HashMap;
 import java.util.HashSet;
 import java.util.Iterator;
@@ -53,7 +52,7 @@ public abstract class MultiLabelInfo implements OutputInfo<MultiLabel> {
     /**
      * The label domain.
      */
-    protected transient Map<String,MultiLabel> labels;
+    protected final Map<String,MultiLabel> labels;
 
     /**
      * The total number of {@link MultiLabel} objects this object has seen.
@@ -207,11 +206,4 @@ public int hashCode() {
         return Objects.hash(labelCounts, unknownCount, totalCount);
     }
 
-    private void readObject(java.io.ObjectInputStream in) throws IOException, ClassNotFoundException {
-        in.defaultReadObject();
-        labels = new HashMap<>();
-        for (Map.Entry<String,MutableLong> e : labelCounts.entrySet()) {
-            labels.put(e.getKey(),new MultiLabel(e.getKey()));
-        }
-    }
 }
diff --git a/Regression/Core/src/main/java/org/tribuo/regression/ImmutableRegressionInfo.java b/Regression/Core/src/main/java/org/tribuo/regression/ImmutableRegressionInfo.java
index 2a31677cd..18021d2ce 100644
--- a/Regression/Core/src/main/java/org/tribuo/regression/ImmutableRegressionInfo.java
+++ b/Regression/Core/src/main/java/org/tribuo/regression/ImmutableRegressionInfo.java
@@ -25,7 +25,6 @@
 import org.tribuo.protos.core.OutputDomainProto;
 import org.tribuo.regression.protos.ImmutableRegressionInfoProto;
 
-import java.io.IOException;
 import java.util.Arrays;
 import java.util.Collections;
 import java.util.Comparator;
@@ -56,10 +55,10 @@ public class ImmutableRegressionInfo extends RegressionInfo implements Immutable
 
     private final Set<Regressor> domain;
 
-    private transient double[] minArray;
-    private transient double[] maxArray;
-    private transient double[] meanArray;
-    private transient double[] varianceArray;
+    private double[] minArray;
+    private double[] maxArray;
+    private double[] meanArray;
+    private double[] varianceArray;
 
     /**
      * Copies an ImmutableRegressionInfo including the ids.
@@ -504,10 +503,4 @@ public Pair<Integer, Regressor> next() {
         }
     }
 
-    private void readObject(java.io.ObjectInputStream in) throws IOException, ClassNotFoundException {
-        in.defaultReadObject();
-
-        // Rebuild statistic arrays
-        computeStatisticArrays();
-    }
 }
diff --git a/Regression/LibLinear/src/main/java/org/tribuo/regression/liblinear/LibLinearRegressionModel.java b/Regression/LibLinear/src/main/java/org/tribuo/regression/liblinear/LibLinearRegressionModel.java
index 605517181..9a6a7c46b 100644
--- a/Regression/LibLinear/src/main/java/org/tribuo/regression/liblinear/LibLinearRegressionModel.java
+++ b/Regression/LibLinear/src/main/java/org/tribuo/regression/liblinear/LibLinearRegressionModel.java
@@ -86,7 +86,7 @@ public class LibLinearRegressionModel extends LibLinearModel<Regressor> implemen
     private final String[] dimensionNames;
 
     // Not final as it doesn't exist in 4.0 or 4.1 and so must be created on deserialization.
-    private int[] mapping;
+    private final int[] mapping;
 
     LibLinearRegressionModel(String name, ModelProvenance description, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<Regressor> outputInfo, List<de.bwaldvogel.liblinear.Model> models) {
         super(name, description, featureIDMap, outputInfo, false, models);
@@ -125,10 +125,10 @@ public static LibLinearRegressionModel deserializeFromProto(int version, String
             List<de.bwaldvogel.liblinear.Model> models = new ArrayList<>();
             for (ByteString modelArray : proto.getModelsList()) {
                 ByteArrayInputStream bais = new ByteArrayInputStream(modelArray.toByteArray());
-                ObjectInputStream ois = new ObjectInputStream(bais);
-                de.bwaldvogel.liblinear.Model model = (de.bwaldvogel.liblinear.Model) ois.readObject();
-                ois.close();
-                models.add(model);
+                try (ObjectInputStream ois = new ObjectInputStream(bais)) {
+                    de.bwaldvogel.liblinear.Model model = (de.bwaldvogel.liblinear.Model) ois.readObject();
+                    models.add(model);
+                }
             }
             return new LibLinearRegressionModel(carrier.name(),carrier.provenance(),carrier.featureDomain(),outputDomain,Collections.unmodifiableList(models));
         } catch (IOException | ClassNotFoundException e) {
@@ -281,19 +281,4 @@ public ONNXNode writeONNXGraph(ONNXRef<?> input) {
         return input.apply(ONNXOperators.GEMM, Arrays.asList(onnxWeights, onnxBiases));
     }
 
-    private void readObject(java.io.ObjectInputStream in) throws IOException, ClassNotFoundException {
-        in.defaultReadObject();
-
-        // Add mapping field to 4.0, 4.1 models and rearrange the dimensions.
-        if (mapping == null) {
-            this.mapping = ((ImmutableRegressionInfo) outputIDInfo).getIDtoNaturalOrderMapping();
-            List<de.bwaldvogel.liblinear.Model> newModels = new ArrayList<>(this.models);
-
-            for (int i = 0; i < mapping.length; i++) {
-                newModels.set(i,this.models.get(mapping[i]));
-            }
-
-            this.models = Collections.unmodifiableList(newModels);
-        }
-    }
 }
diff --git a/Regression/LibSVM/src/main/java/org/tribuo/regression/libsvm/LibSVMRegressionModel.java b/Regression/LibSVM/src/main/java/org/tribuo/regression/libsvm/LibSVMRegressionModel.java
index ef5bcd74e..d3c7368c1 100644
--- a/Regression/LibSVM/src/main/java/org/tribuo/regression/libsvm/LibSVMRegressionModel.java
+++ b/Regression/LibSVM/src/main/java/org/tribuo/regression/libsvm/LibSVMRegressionModel.java
@@ -45,7 +45,6 @@
 import org.tribuo.util.onnx.ONNXPlaceholder;
 import org.tribuo.util.onnx.ONNXRef;
 
-import java.io.IOException;
 import java.util.ArrayList;
 import java.util.Arrays;
 import java.util.Collections;
@@ -87,14 +86,13 @@ public class LibSVMRegressionModel extends LibSVMModel<Regressor> implements ONN
 
     private final String[] dimensionNames;
 
-    private double[] means;
+    private final double[] means;
 
-    private double[] variances;
+    private final double[] variances;
 
     private final boolean standardized;
 
-    // Not final as it doesn't exist in 4.0 or 4.1 and so must be created on deserialization.
-    private int[] mapping;
+    private final int[] mapping;
 
     /**
      * Constructs a LibSVMRegressionModel with regular outputs.
@@ -352,27 +350,4 @@ public ModelProto serialize() {
         return builder.build();
     }
 
-    private void readObject(java.io.ObjectInputStream in) throws IOException, ClassNotFoundException {
-        in.defaultReadObject();
-
-        // Add mapping field to 4.0, 4.1 models and rearrange the dimensions.
-        if (mapping == null) {
-            this.mapping = ((ImmutableRegressionInfo) outputIDInfo).getIDtoNaturalOrderMapping();
-            List<svm_model> newModels = new ArrayList<>(this.models);
-            double[] newMeans = new double[newModels.size()];
-            double[] newVariances = new double[newModels.size()];
-
-            for (int i = 0; i < mapping.length; i++) {
-                newModels.set(i,this.models.get(mapping[i]));
-                if (this.means != null) {
-                    newMeans[i] = this.means[mapping[i]];
-                    newVariances[i] = this.variances[mapping[i]];
-                }
-            }
-
-            this.models = Collections.unmodifiableList(newModels);
-            this.means = newMeans;
-            this.variances = newVariances;
-        }
-    }
 }
diff --git a/Regression/RegressionTree/src/main/java/org/tribuo/regression/rtree/impl/JointRegressorTrainingNode.java b/Regression/RegressionTree/src/main/java/org/tribuo/regression/rtree/impl/JointRegressorTrainingNode.java
index 0b50f54d6..0259e4ff6 100644
--- a/Regression/RegressionTree/src/main/java/org/tribuo/regression/rtree/impl/JointRegressorTrainingNode.java
+++ b/Regression/RegressionTree/src/main/java/org/tribuo/regression/rtree/impl/JointRegressorTrainingNode.java
@@ -535,8 +535,4 @@ private static class InvertedData {
         }
     }
 
-    private void writeObject(java.io.ObjectOutputStream stream)
-            throws IOException {
-        throw new NotSerializableException("JointRegressorTrainingNode is a runtime class only, and should not be serialized.");
-    }
 }
\ No newline at end of file
diff --git a/Regression/RegressionTree/src/main/java/org/tribuo/regression/rtree/impl/RegressorTrainingNode.java b/Regression/RegressionTree/src/main/java/org/tribuo/regression/rtree/impl/RegressorTrainingNode.java
index 9c65034a8..6947b106b 100644
--- a/Regression/RegressionTree/src/main/java/org/tribuo/regression/rtree/impl/RegressorTrainingNode.java
+++ b/Regression/RegressionTree/src/main/java/org/tribuo/regression/rtree/impl/RegressorTrainingNode.java
@@ -484,8 +484,4 @@ ArrayList<TreeFeature> copyData() {
         }
     }
 
-    private void writeObject(java.io.ObjectOutputStream stream)
-            throws IOException {
-        throw new NotSerializableException("RegressorTrainingNode is a runtime class only, and should not be serialized.");
-    }
 }
\ No newline at end of file
diff --git a/Regression/SGD/src/main/java/org/tribuo/regression/sgd/linear/LinearSGDModel.java b/Regression/SGD/src/main/java/org/tribuo/regression/sgd/linear/LinearSGDModel.java
index 29f058802..d97aa4278 100644
--- a/Regression/SGD/src/main/java/org/tribuo/regression/sgd/linear/LinearSGDModel.java
+++ b/Regression/SGD/src/main/java/org/tribuo/regression/sgd/linear/LinearSGDModel.java
@@ -157,14 +157,4 @@ protected String onnxModelName() {
         return "Regression-LinearSGDModel";
     }
 
-    private void readObject(java.io.ObjectInputStream in) throws IOException, ClassNotFoundException {
-        in.defaultReadObject();
-
-        // Bounce old 4.0 style models into the new 4.1 style models
-        if (weights != null && modelParameters == null) {
-            modelParameters = new LinearParameters(weights);
-            weights = null;
-            addBias = true;
-        }
-    }
 }
diff --git a/Regression/SLM/src/main/java/org/tribuo/regression/slm/SparseLinearModel.java b/Regression/SLM/src/main/java/org/tribuo/regression/slm/SparseLinearModel.java
index a3c127911..fa4e7719b 100644
--- a/Regression/SLM/src/main/java/org/tribuo/regression/slm/SparseLinearModel.java
+++ b/Regression/SLM/src/main/java/org/tribuo/regression/slm/SparseLinearModel.java
@@ -35,8 +35,6 @@
 import org.tribuo.math.la.VectorTuple;
 import org.tribuo.protos.core.ModelProto;
 import org.tribuo.provenance.ModelProvenance;
-import org.tribuo.provenance.TrainerProvenance;
-import org.tribuo.regression.ImmutableRegressionInfo;
 import org.tribuo.regression.Regressor;
 import org.tribuo.regression.Regressor.DimensionTuple;
 import org.tribuo.regression.impl.SkeletalIndependentRegressionSparseModel;
@@ -49,7 +47,6 @@
 import org.tribuo.util.onnx.ONNXRef;
 import org.tribuo.util.onnx.ONNXInitializer;
 
-import java.io.IOException;
 import java.nio.FloatBuffer;
 import java.util.ArrayList;
 import java.util.Arrays;
@@ -77,21 +74,18 @@ public class SparseLinearModel extends SkeletalIndependentRegressionSparseModel
      */
     public static final int CURRENT_VERSION = 0;
 
-    private SparseVector[] weights;
+    private final SparseVector[] weights;
     private final DenseVector featureMeans;
     /**
      * Note this variable is called a variance, but it actually stores the l2 norm of the centered feature column.
      */
     private final DenseVector featureVariance;
     private final boolean bias;
-    private double[] yMean;
+    private final double[] yMean;
     /**
      * Note this variable is called a variance, but it actually stores the l2 norm of the centered output.
      */
-    private double[] yVariance;
-
-    // Used to signal if the model has been rewritten to fix the issue with ElasticNet models in 4.0 and 4.1.0.
-    private boolean enet41MappingFix;
+    private final double[] yVariance;
 
     SparseLinearModel(String name, String[] dimensionNames, ModelProvenance description,
                       ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<Regressor> labelIDMap,
@@ -103,7 +97,6 @@ public class SparseLinearModel extends SkeletalIndependentRegressionSparseModel
         this.bias = bias;
         this.yVariance = yNorms;
         this.yMean = yMean;
-        this.enet41MappingFix = true;
     }
 
     /**
@@ -390,30 +383,4 @@ public ONNXNode writeONNXGraph(ONNXRef<?> input) {
                 .apply(ONNXOperators.ADD, outputMean);
     }
 
-    private void readObject(java.io.ObjectInputStream in) throws IOException, ClassNotFoundException {
-        in.defaultReadObject();
-
-        // Rearrange the dimensions in ElasticNet models from 4.1.0 and earlier because they are corrupted.
-        String tribuoVersion = (String) provenance.getTrainerProvenance().getInstanceValues().get(TrainerProvenance.TRIBUO_VERSION_STRING).getValue();
-        if (provenance.getTrainerProvenance().getClassName().equals("org.tribuo.regression.slm.ElasticNetCDTrainer") && !enet41MappingFix &&
-                (tribuoVersion.startsWith("4.0.0") || tribuoVersion.startsWith("4.0.1") || tribuoVersion.startsWith("4.0.2") || tribuoVersion.startsWith("4.1.0")
-                        // This is explicit to catch the test model which has a 4.1.1-SNAPSHOT Tribuo version.
-                        || tribuoVersion.equals("4.1.1-SNAPSHOT"))) {
-            enet41MappingFix = true;
-            int[] mapping = ((ImmutableRegressionInfo) outputIDInfo).getIDtoNaturalOrderMapping();
-            SparseVector[] newWeights = new SparseVector[weights.length];
-            double[] newYMeans = new double[weights.length];
-            double[] newYVariances = new double[weights.length];
-
-            for (int i = 0; i < mapping.length; i++) {
-                newWeights[i] = this.weights[mapping[i]];
-                newYMeans[i] = this.yMean[mapping[i]];
-                newYVariances[i] = this.yVariance[mapping[i]];
-            }
-
-            this.yMean = newYMeans;
-            this.yVariance = newYVariances;
-            this.weights = newWeights;
-        }
-    }
 }
diff --git a/Util/Tokenization/src/test/java/org/tribuo/util/tokens/TokenizerTestWrapper.java b/Util/Tokenization/src/test/java/org/tribuo/util/tokens/TokenizerTestWrapper.java
index 103157641..4e45379cf 100644
--- a/Util/Tokenization/src/test/java/org/tribuo/util/tokens/TokenizerTestWrapper.java
+++ b/Util/Tokenization/src/test/java/org/tribuo/util/tokens/TokenizerTestWrapper.java
@@ -16,13 +16,10 @@
 
 package org.tribuo.util.tokens;
 
-import com.oracle.labs.mlrg.olcut.provenance.ProvenanceUtil;
 import com.oracle.labs.mlrg.olcut.util.IOUtil;
 
 import java.io.File;
 import java.io.IOException;
-import java.io.ObjectInputStream;
-import java.io.ObjectOutputStream;
 import java.io.Serializable;
 
 public class TokenizerTestWrapper implements Serializable {
@@ -44,13 +41,4 @@ public static Tokenizer serializeAndDeserialize(File f, Tokenizer tokenizer) thr
         return tokenizer;
     }
 
-    private void readObject(ObjectInputStream inputStream) throws ClassNotFoundException, IOException {
-        this.name = (String) inputStream.readObject();
-        this.tokenizer = (Tokenizer) ProvenanceUtil.readObject(inputStream);
-    }
-
-    private void writeObject(ObjectOutputStream outputStream) throws IOException {
-        outputStream.writeObject(this.name);
-        ProvenanceUtil.writeObject(this.tokenizer, outputStream);
-    }
 }

From be8685b3321ca1aa455b234dcd90b34d4e6607a3 Mon Sep 17 00:00:00 2001
From: Adam Pocock <adam.pocock@oracle.com>
Date: Sun, 5 Feb 2023 22:58:10 -0500
Subject: [PATCH 2/9] Removing java.io.Serializable.

---
 .../anomaly/liblinear/LinearAnomalyType.java  |  5 +-
 .../LibLinearAnomalyTrainerTest.java          |  1 -
 .../libsvm/LibSVMAnomalyTrainerTest.java      |  3 -
 .../ConfidencePredictingSequenceModel.java    |  5 +-
 .../viterbi/LabelFeatureExtractor.java        |  3 +-
 .../baseline/TestDummyClassifier.java         |  1 -
 .../ensemble/VotingCombinerTest.java          |  2 +-
 .../dtree/impl/InvertedFeature.java           |  4 +-
 .../dtree/impl/TreeFeature.java               |  3 +-
 .../tribuo/classification/dtree/TestCART.java |  2 +-
 .../dtree/TestClassificationEnsembles.java    |  8 +-
 .../liblinear/LinearClassificationType.java   |  5 +-
 .../liblinear/TestLibLinearModel.java         |  2 -
 .../libsvm/LibSVMClassificationModel.java     |  1 -
 .../libsvm/SVMClassificationType.java         |  1 -
 .../classification/libsvm/TestLibSVM.java     |  2 +-
 .../tribuo/classification/mnb/TestMNB.java    |  2 +-
 .../classification/sgd/crf/CRFParameters.java |  4 +-
 .../sgd/crf/CRFTrainerTest.java               |  1 -
 .../sgd/fm/TestFMClassification.java          |  1 -
 .../sgd/kernel/TestSGDKernel.java             |  1 -
 .../sgd/linear/TestSGDLinear.java             |  1 -
 .../classification/xgboost/TestXGBoost.java   |  1 -
 .../xgboost/TestXGBoostExternalModel.java     |  1 -
 .../clustering/hdbscan/HdbscanTrainer.java    |  4 +-
 .../clustering/hdbscan/TestHdbscan.java       |  1 -
 .../tribuo/clustering/kmeans/TestKMeans.java  |  3 +-
 .../common/liblinear/LibLinearType.java       |  4 +-
 .../org/tribuo/common/libsvm/KernelType.java  |  4 +-
 .../org/tribuo/common/libsvm/LibSVMModel.java |  4 +-
 .../tribuo/common/libsvm/SVMParameters.java   |  6 +-
 .../org/tribuo/common/libsvm/SVMType.java     |  4 +-
 .../org/tribuo/common/nearest/TestKNN.java    |  2 -
 .../java/org/tribuo/common/tree/LeafNode.java |  1 -
 .../java/org/tribuo/common/tree/Node.java     |  4 +-
 .../org/tribuo/common/tree/SplitNode.java     |  1 -
 .../xgboost/XGBoostOutputConverter.java       |  3 +-
 .../java/org/tribuo/CategoricalIDInfo.java    |  1 -
 .../main/java/org/tribuo/CategoricalInfo.java |  1 -
 Core/src/main/java/org/tribuo/Dataset.java    |  4 +-
 Core/src/main/java/org/tribuo/Example.java    |  7 +-
 Core/src/main/java/org/tribuo/Feature.java    |  4 +-
 Core/src/main/java/org/tribuo/FeatureMap.java |  4 +-
 .../java/org/tribuo/ImmutableDataset.java     |  4 +-
 .../java/org/tribuo/ImmutableFeatureMap.java  |  4 +-
 Core/src/main/java/org/tribuo/Model.java      |  4 +-
 .../main/java/org/tribuo/ModelExplorer.java   | 42 ++------
 .../main/java/org/tribuo/MutableDataset.java  |  2 -
 .../java/org/tribuo/MutableFeatureMap.java    |  1 -
 Core/src/main/java/org/tribuo/Output.java     |  4 +-
 .../main/java/org/tribuo/OutputFactory.java   |  3 +-
 Core/src/main/java/org/tribuo/OutputInfo.java |  3 +-
 Core/src/main/java/org/tribuo/Prediction.java |  4 +-
 Core/src/main/java/org/tribuo/RealIDInfo.java |  1 -
 Core/src/main/java/org/tribuo/RealInfo.java   |  1 -
 .../java/org/tribuo/SelectedFeatureSet.java   |  4 +-
 .../java/org/tribuo/SkeletalVariableInfo.java |  1 -
 .../src/main/java/org/tribuo/SparseModel.java |  1 -
 .../main/java/org/tribuo/VariableInfo.java    |  3 +-
 .../org/tribuo/ensemble/EnsembleCombiner.java |  3 +-
 .../src/main/java/org/tribuo/hash/Hasher.java |  7 +-
 .../java/org/tribuo/impl/ListExample.java     |  4 +-
 .../sequence/ImmutableSequenceDataset.java    |  4 +-
 .../sequence/IndependentSequenceModel.java    |  1 -
 .../MinimumCardinalitySequenceDataset.java    |  1 -
 .../sequence/MutableSequenceDataset.java      |  1 -
 .../org/tribuo/sequence/SequenceDataset.java  |  4 +-
 .../org/tribuo/sequence/SequenceExample.java  |  4 +-
 .../org/tribuo/sequence/SequenceModel.java    |  4 +-
 .../sequence/SequenceModelExplorer.java       | 38 ++-----
 .../org/tribuo/transform/Transformer.java     |  4 +-
 .../org/tribuo/transform/TransformerMap.java  |  5 +-
 .../transformations/SimpleTransform.java      |  7 +-
 .../tribuo/util/MeanVarianceAccumulator.java  |  3 +-
 .../test/java/org/tribuo/test/Helpers.java    | 98 +++----------------
 .../interop/oci/OCIOutputConverter.java       |  3 +-
 .../interop/onnx/ExampleTransformer.java      |  3 +-
 .../interop/onnx/OutputTransformer.java       |  3 +-
 .../tribuo/interop/onnx/TestOnnxRuntime.java  |  2 -
 .../interop/tensorflow/FeatureConverter.java  |  3 +-
 .../interop/tensorflow/OutputConverter.java   |  3 +-
 .../interop/tensorflow/TensorFlowUtil.java    |  4 +-
 .../sequence/SequenceFeatureConverter.java    |  3 +-
 .../sequence/SequenceOutputConverter.java     |  3 +-
 .../tensorflow/ClassificationTest.java        |  4 +-
 .../interop/tensorflow/RegressionTest.java    |  1 -
 .../java/org/tribuo/json/StripProvenance.java |  6 +-
 .../main/java/org/tribuo/math/Parameters.java |  4 +-
 .../org/tribuo/math/distance/Distance.java    |  4 +-
 .../java/org/tribuo/math/kernel/Kernel.java   |  4 +-
 .../main/java/org/tribuo/math/la/Tensor.java  |  3 +-
 .../neighbour/NeighboursQueryFactory.java     |  4 +-
 .../org/tribuo/math/util/ExpNormalizer.java   |  4 +-
 .../java/org/tribuo/math/util/Merger.java     |  4 +-
 .../org/tribuo/math/util/NoopNormalizer.java  |  4 +-
 .../java/org/tribuo/math/util/Normalizer.java |  3 +-
 .../tribuo/math/util/SigmoidNormalizer.java   |  4 +-
 .../tribuo/math/util/VectorNormalizer.java    |  3 +-
 .../baseline/ClassifierChainTest.java         |  3 +-
 .../baseline/IndependentMultiLabelTest.java   |  1 -
 .../multilabel/ensemble/CCEnsembleTest.java   |  2 +-
 .../multilabel/sgd/fm/TestFMMultiLabel.java   |  1 -
 .../multilabel/sgd/linear/TestSGDLinear.java  |  1 -
 .../baseline/TestDummyRegression.java         |  1 -
 .../ensemble/AveragingCombinerTest.java       |  2 +-
 .../liblinear/LinearRegressionType.java       |  5 +-
 .../regression/liblinear/TestLibLinear.java   |  1 -
 .../tribuo/regression/libsvm/TestLibSVM.java  |  2 +-
 .../rtree/TestCARTJointRegressionTrainer.java |  1 -
 .../rtree/TestCARTRegressionTrainer.java      |  2 +-
 .../rtree/TestRegressionEnsembles.java        | 12 +--
 .../regression/sgd/fm/TestFMRegression.java   |  1 -
 .../regression/sgd/linear/TestSGDLinear.java  |  1 -
 .../org/tribuo/regression/slm/TestSLM.java    |  7 +-
 .../regression/xgboost/TestXGBoost.java       |  1 -
 .../util/tokens/TokenizerTestWrapper.java     | 12 +++
 116 files changed, 130 insertions(+), 397 deletions(-)

diff --git a/AnomalyDetection/LibLinear/src/main/java/org/tribuo/anomaly/liblinear/LinearAnomalyType.java b/AnomalyDetection/LibLinear/src/main/java/org/tribuo/anomaly/liblinear/LinearAnomalyType.java
index f84d802ed..675b3769a 100644
--- a/AnomalyDetection/LibLinear/src/main/java/org/tribuo/anomaly/liblinear/LinearAnomalyType.java
+++ b/AnomalyDetection/LibLinear/src/main/java/org/tribuo/anomaly/liblinear/LinearAnomalyType.java
@@ -23,20 +23,17 @@
 import org.tribuo.common.liblinear.LibLinearType;
 import de.bwaldvogel.liblinear.SolverType;
 
-import java.io.Serializable;
-
 /**
  * The carrier type for liblinear anomaly detection modes.
  * <p>
  * Supports: ONECLASS_SVM
  */
 public final class LinearAnomalyType implements LibLinearType<Event> {
-    private static final long serialVersionUID = 1L;
 
     /**
      * The different model types available for classification.
      */
-    public enum LinearType implements Serializable {
+    public enum LinearType {
         /**
          * Linear one-class SVM
          */
diff --git a/AnomalyDetection/LibLinear/src/test/java/org/tribuo/anomaly/liblinear/LibLinearAnomalyTrainerTest.java b/AnomalyDetection/LibLinear/src/test/java/org/tribuo/anomaly/liblinear/LibLinearAnomalyTrainerTest.java
index be8e94536..41804ffa4 100644
--- a/AnomalyDetection/LibLinear/src/test/java/org/tribuo/anomaly/liblinear/LibLinearAnomalyTrainerTest.java
+++ b/AnomalyDetection/LibLinear/src/test/java/org/tribuo/anomaly/liblinear/LibLinearAnomalyTrainerTest.java
@@ -75,7 +75,6 @@ public void gaussianDataTest() {
         logger.finer(output);
 
         // Test serialization
-        Helpers.testModelSerialization(model,Event.class);
         Helpers.testModelProtoSerialization(model,Event.class,testData);
     }
 
diff --git a/AnomalyDetection/LibSVM/src/test/java/org/tribuo/anomaly/libsvm/LibSVMAnomalyTrainerTest.java b/AnomalyDetection/LibSVM/src/test/java/org/tribuo/anomaly/libsvm/LibSVMAnomalyTrainerTest.java
index 90c217958..0db74fbae 100644
--- a/AnomalyDetection/LibSVM/src/test/java/org/tribuo/anomaly/libsvm/LibSVMAnomalyTrainerTest.java
+++ b/AnomalyDetection/LibSVM/src/test/java/org/tribuo/anomaly/libsvm/LibSVMAnomalyTrainerTest.java
@@ -76,9 +76,6 @@ public void gaussianDataTest() {
         logger.finer(confusion);
         logger.finer(output);
 
-        // Test serialization
-        Helpers.testModelSerialization(model,Event.class);
-
         // Test protobuf serialization
         Helpers.testModelProtoSerialization(model, Event.class, pair.getB());
     }
diff --git a/Classification/Core/src/main/java/org/tribuo/classification/sequence/ConfidencePredictingSequenceModel.java b/Classification/Core/src/main/java/org/tribuo/classification/sequence/ConfidencePredictingSequenceModel.java
index 650067926..7cd4d51c3 100644
--- a/Classification/Core/src/main/java/org/tribuo/classification/sequence/ConfidencePredictingSequenceModel.java
+++ b/Classification/Core/src/main/java/org/tribuo/classification/sequence/ConfidencePredictingSequenceModel.java
@@ -24,7 +24,6 @@
 import org.tribuo.sequence.SequenceExample;
 import org.tribuo.sequence.SequenceModel;
 
-import java.io.Serializable;
 import java.util.ArrayList;
 import java.util.List;
 
@@ -37,7 +36,6 @@
  * in a SequenceExample.
  */
 public abstract class ConfidencePredictingSequenceModel extends SequenceModel<Label> {
-    private static final long serialVersionUID = 1L;
 
     /**
      * Constructs a ConfidencePredictingSequenceModel with the supplied parameters.
@@ -86,8 +84,7 @@ private static <SUB extends Subsequence> Double multiplyWeights(List<Prediction<
     /**
      * A range class used to define a subsequence of a SequenceExample.
      */
-    public static class Subsequence implements Serializable {
-        private static final long serialVersionUID = 1L;
+    public static class Subsequence {
         /**
          * The subsequence start index.
          */
diff --git a/Classification/Core/src/main/java/org/tribuo/classification/sequence/viterbi/LabelFeatureExtractor.java b/Classification/Core/src/main/java/org/tribuo/classification/sequence/viterbi/LabelFeatureExtractor.java
index 9dbcfc178..83bda1bd4 100644
--- a/Classification/Core/src/main/java/org/tribuo/classification/sequence/viterbi/LabelFeatureExtractor.java
+++ b/Classification/Core/src/main/java/org/tribuo/classification/sequence/viterbi/LabelFeatureExtractor.java
@@ -25,13 +25,12 @@
 import org.tribuo.protos.ProtoSerializable;
 import org.tribuo.protos.ProtoUtil;
 
-import java.io.Serializable;
 import java.util.List;
 
 /**
  * A class for featurising labels from previous steps in Viterbi.
  */
-public interface LabelFeatureExtractor extends Configurable, ProtoSerializable<LabelFeatureExtractorProto>, Provenancable<ConfiguredObjectProvenance>, Serializable {
+public interface LabelFeatureExtractor extends Configurable, ProtoSerializable<LabelFeatureExtractorProto>, Provenancable<ConfiguredObjectProvenance> {
 
     /**
      * Generates features based on the previously produced labels.
diff --git a/Classification/Core/src/test/java/org/tribuo/classification/baseline/TestDummyClassifier.java b/Classification/Core/src/test/java/org/tribuo/classification/baseline/TestDummyClassifier.java
index fcb1fbb50..20e399d18 100644
--- a/Classification/Core/src/test/java/org/tribuo/classification/baseline/TestDummyClassifier.java
+++ b/Classification/Core/src/test/java/org/tribuo/classification/baseline/TestDummyClassifier.java
@@ -57,7 +57,6 @@ public static void testDummyClassifier(Pair<Dataset<Label>, Dataset<Label>> p, b
             Evaluator<Label, LabelEvaluation> evaluator = new LabelEvaluator();
             LabelEvaluation evaluation = evaluator.evaluate(m,p.getB());
             if (testModelSave) {
-                Helpers.testModelSerialization(m,Label.class);
                 Helpers.testModelProtoSerialization(m, Label.class, p.getB());
             }
         }
diff --git a/Classification/Core/src/test/java/org/tribuo/classification/ensemble/VotingCombinerTest.java b/Classification/Core/src/test/java/org/tribuo/classification/ensemble/VotingCombinerTest.java
index 67e0dfe4b..bc4aab69b 100644
--- a/Classification/Core/src/test/java/org/tribuo/classification/ensemble/VotingCombinerTest.java
+++ b/Classification/Core/src/test/java/org/tribuo/classification/ensemble/VotingCombinerTest.java
@@ -127,7 +127,7 @@ public void votingCombinerTest() {
         assertEquals(prediction.getOutput(),dishwasher);
         modelList.clear();
 
-        Helpers.testModelSerialization(ensemble,Label.class);
+        Helpers.testModelProtoSerialization(ensemble,Label.class);
     }
 
     @Test
diff --git a/Classification/DecisionTree/src/main/java/org/tribuo/classification/dtree/impl/InvertedFeature.java b/Classification/DecisionTree/src/main/java/org/tribuo/classification/dtree/impl/InvertedFeature.java
index f577ce4b7..5114c93cd 100644
--- a/Classification/DecisionTree/src/main/java/org/tribuo/classification/dtree/impl/InvertedFeature.java
+++ b/Classification/DecisionTree/src/main/java/org/tribuo/classification/dtree/impl/InvertedFeature.java
@@ -19,7 +19,6 @@
 import com.oracle.labs.mlrg.olcut.util.Pair;
 import org.tribuo.common.tree.impl.IntArrayContainer;
 
-import java.io.Serializable;
 import java.util.Arrays;
 import java.util.Objects;
 
@@ -33,9 +32,8 @@
  * This code does not check that this invariant is maintained.
  * <p>
  * Note: this class has a natural ordering that is inconsistent with equals.
- * While this class is serializable, it should not be serialized in most cases, as it's only used during training.
  */
-class InvertedFeature implements Comparable<InvertedFeature>, Serializable {
+class InvertedFeature implements Comparable<InvertedFeature> {
 
     private static final int DEFAULT_SIZE = 8;
 
diff --git a/Classification/DecisionTree/src/main/java/org/tribuo/classification/dtree/impl/TreeFeature.java b/Classification/DecisionTree/src/main/java/org/tribuo/classification/dtree/impl/TreeFeature.java
index 1885f0176..0d0c0286f 100644
--- a/Classification/DecisionTree/src/main/java/org/tribuo/classification/dtree/impl/TreeFeature.java
+++ b/Classification/DecisionTree/src/main/java/org/tribuo/classification/dtree/impl/TreeFeature.java
@@ -20,7 +20,6 @@
 import org.tribuo.common.tree.impl.IntArrayContainer;
 import org.tribuo.util.Util;
 
-import java.io.Serializable;
 import java.util.ArrayList;
 import java.util.HashMap;
 import java.util.Iterator;
@@ -32,7 +31,7 @@
  *
  * Can be split into two values based on an example index list.
  */
-class TreeFeature implements Iterable<InvertedFeature>, Serializable {
+class TreeFeature implements Iterable<InvertedFeature> {
 
     private final int id;
 
diff --git a/Classification/DecisionTree/src/test/java/org/tribuo/classification/dtree/TestCART.java b/Classification/DecisionTree/src/test/java/org/tribuo/classification/dtree/TestCART.java
index bb0f473cd..09c195113 100644
--- a/Classification/DecisionTree/src/test/java/org/tribuo/classification/dtree/TestCART.java
+++ b/Classification/DecisionTree/src/test/java/org/tribuo/classification/dtree/TestCART.java
@@ -117,7 +117,7 @@ public static TreeModel<Label> runDenseData(CARTClassificationTrainer trainer) {
     @Test
     public void testDenseData() {
         Model<Label> model = runDenseData(t);
-        Helpers.testModelSerialization(model,Label.class);
+        Helpers.testModelProtoSerialization(model,Label.class);
     }
 
     @Test
diff --git a/Classification/DecisionTree/src/test/java/org/tribuo/classification/dtree/TestClassificationEnsembles.java b/Classification/DecisionTree/src/test/java/org/tribuo/classification/dtree/TestClassificationEnsembles.java
index 9cf06bda2..c3055aecb 100644
--- a/Classification/DecisionTree/src/test/java/org/tribuo/classification/dtree/TestClassificationEnsembles.java
+++ b/Classification/DecisionTree/src/test/java/org/tribuo/classification/dtree/TestClassificationEnsembles.java
@@ -158,16 +158,16 @@ public void testDenseData() {
         Pair<Dataset<Label>,Dataset<Label>> p = LabelledDataGenerator.denseTrainTest();
 
         Model<Label> boost = testAdaBoost(p);
-        Helpers.testModelSerialization(boost,Label.class);
+        Helpers.testModelProtoSerialization(boost,Label.class);
 
         Model<Label> bag = testBagging(p);
-        Helpers.testModelSerialization(bag,Label.class);
+        Helpers.testModelProtoSerialization(bag,Label.class);
 
         Model<Label> rf = testRandomForest(p);
-        Helpers.testModelSerialization(rf,Label.class);
+        Helpers.testModelProtoSerialization(rf,Label.class);
 
         Model<Label> extra = testExtraTrees(p);
-        Helpers.testModelSerialization(extra,Label.class);
+        Helpers.testModelProtoSerialization(extra,Label.class);
     }
 
     @Test
diff --git a/Classification/LibLinear/src/main/java/org/tribuo/classification/liblinear/LinearClassificationType.java b/Classification/LibLinear/src/main/java/org/tribuo/classification/liblinear/LinearClassificationType.java
index b330d1aa2..c3ae873e5 100644
--- a/Classification/LibLinear/src/main/java/org/tribuo/classification/liblinear/LinearClassificationType.java
+++ b/Classification/LibLinear/src/main/java/org/tribuo/classification/liblinear/LinearClassificationType.java
@@ -23,20 +23,17 @@
 import org.tribuo.common.liblinear.LibLinearType;
 import de.bwaldvogel.liblinear.SolverType;
 
-import java.io.Serializable;
-
 /**
  * The carrier type for liblinear classification modes.
  * <p>
  * Supports: L1R_L2LOSS_SVC, L2R_L2LOSS_SVC, L2R_L2LOSS_SVC_DUAL, L2R_L1LOSS_SVC_DUAL, MCSVM_CS, L1R_LR, L2R_LR, L2R_LR_DUAL.
  */
 public final class LinearClassificationType implements LibLinearType<Label> {
-    private static final long serialVersionUID = 1L;
 
     /**
      * The different model types available for classification.
      */
-    public enum LinearType implements Serializable {
+    public enum LinearType {
         /**
          * L1-regularized L2-loss support vector classification
          */
diff --git a/Classification/LibLinear/src/test/java/org/tribuo/classification/liblinear/TestLibLinearModel.java b/Classification/LibLinear/src/test/java/org/tribuo/classification/liblinear/TestLibLinearModel.java
index c1713c583..2166c0fe3 100644
--- a/Classification/LibLinear/src/test/java/org/tribuo/classification/liblinear/TestLibLinearModel.java
+++ b/Classification/LibLinear/src/test/java/org/tribuo/classification/liblinear/TestLibLinearModel.java
@@ -221,8 +221,6 @@ public void testDenseData() {
         Model<Label> model = testLibLinear(p);
 
         // Test serialization
-        Helpers.testModelSerialization(model,Label.class);
-
         Helpers.testModelProtoSerialization(model, Label.class, p.getB());
     }
 
diff --git a/Classification/LibSVM/src/main/java/org/tribuo/classification/libsvm/LibSVMClassificationModel.java b/Classification/LibSVM/src/main/java/org/tribuo/classification/libsvm/LibSVMClassificationModel.java
index a61dc3f1c..7a04d14d2 100644
--- a/Classification/LibSVM/src/main/java/org/tribuo/classification/libsvm/LibSVMClassificationModel.java
+++ b/Classification/LibSVM/src/main/java/org/tribuo/classification/libsvm/LibSVMClassificationModel.java
@@ -80,7 +80,6 @@
  * </pre>
  */
 public class LibSVMClassificationModel extends LibSVMModel<Label> implements ONNXExportable {
-    private static final long serialVersionUID = 3L;
 
     /**
      * Protobuf serialization version.
diff --git a/Classification/LibSVM/src/main/java/org/tribuo/classification/libsvm/SVMClassificationType.java b/Classification/LibSVM/src/main/java/org/tribuo/classification/libsvm/SVMClassificationType.java
index 2da01e73f..f9b040a63 100644
--- a/Classification/LibSVM/src/main/java/org/tribuo/classification/libsvm/SVMClassificationType.java
+++ b/Classification/LibSVM/src/main/java/org/tribuo/classification/libsvm/SVMClassificationType.java
@@ -28,7 +28,6 @@
  * Supports C_SVC and NU_SVC.
  */
 public class SVMClassificationType implements SVMType<Label> {
-    private static final long serialVersionUID = 1L;
 
     /**
      * The classification model types.
diff --git a/Classification/LibSVM/src/test/java/org/tribuo/classification/libsvm/TestLibSVM.java b/Classification/LibSVM/src/test/java/org/tribuo/classification/libsvm/TestLibSVM.java
index 3cac4cbdd..3dcf47b65 100644
--- a/Classification/LibSVM/src/test/java/org/tribuo/classification/libsvm/TestLibSVM.java
+++ b/Classification/LibSVM/src/test/java/org/tribuo/classification/libsvm/TestLibSVM.java
@@ -305,7 +305,7 @@ private static void testSerialization(Pair<Dataset<Label>,Dataset<Label>> datase
     public void testDenseData() {
         Pair<Dataset<Label>, Dataset<Label>> p = LabelledDataGenerator.denseTrainTest();
         Model<Label> model = testLibSVM(p);
-        Helpers.testModelSerialization(model, Label.class);
+        Helpers.testModelProtoSerialization(model, Label.class);
     }
 
     @Test
diff --git a/Classification/MultinomialNaiveBayes/src/test/java/org/tribuo/classification/mnb/TestMNB.java b/Classification/MultinomialNaiveBayes/src/test/java/org/tribuo/classification/mnb/TestMNB.java
index aa864a8bc..66cfe6055 100644
--- a/Classification/MultinomialNaiveBayes/src/test/java/org/tribuo/classification/mnb/TestMNB.java
+++ b/Classification/MultinomialNaiveBayes/src/test/java/org/tribuo/classification/mnb/TestMNB.java
@@ -79,7 +79,7 @@ public void testSingleClassTraining() {
     public void testDenseData() {
         Pair<Dataset<Label>,Dataset<Label>> p = LabelledDataGenerator.denseTrainTest(1.0);
         Model<Label> model = testMNB(p);
-        Helpers.testModelSerialization(model, Label.class);
+        Helpers.testModelProtoSerialization(model, Label.class);
         Model<Label> m = Helpers.testModelProtoSerialization(model, Label.class, p.getB());
         m.predict(p.getB());
     }
diff --git a/Classification/SGD/src/main/java/org/tribuo/classification/sgd/crf/CRFParameters.java b/Classification/SGD/src/main/java/org/tribuo/classification/sgd/crf/CRFParameters.java
index 048d270af..7145fabb6 100644
--- a/Classification/SGD/src/main/java/org/tribuo/classification/sgd/crf/CRFParameters.java
+++ b/Classification/SGD/src/main/java/org/tribuo/classification/sgd/crf/CRFParameters.java
@@ -32,7 +32,6 @@
 import org.tribuo.math.util.Merger;
 import org.tribuo.protos.ProtoUtil;
 
-import java.io.Serializable;
 import java.util.ArrayList;
 import java.util.Arrays;
 import java.util.List;
@@ -40,8 +39,7 @@
 /**
  * A {@link Parameters} for training a CRF using SGD.
  */
-public class CRFParameters implements Parameters, Serializable {
-    private static final long serialVersionUID = 1L;
+public class CRFParameters implements Parameters {
 
     /**
      * Protobuf serialization version.
diff --git a/Classification/SGD/src/test/java/org/tribuo/classification/sgd/crf/CRFTrainerTest.java b/Classification/SGD/src/test/java/org/tribuo/classification/sgd/crf/CRFTrainerTest.java
index f45d81a90..729614b6b 100644
--- a/Classification/SGD/src/test/java/org/tribuo/classification/sgd/crf/CRFTrainerTest.java
+++ b/Classification/SGD/src/test/java/org/tribuo/classification/sgd/crf/CRFTrainerTest.java
@@ -60,7 +60,6 @@ public void testValidExample() {
         SequenceDataset<Label> p = SequenceDataGenerator.generateGorillaDataset(5);
         SequenceModel<Label> m = t.train(p);
         m.predict(p.getExample(0));
-        Helpers.testSequenceModelSerialization(m,Label.class);
         Helpers.testSequenceModelProtoSerialization(m,Label.class,p);
     }
 
diff --git a/Classification/SGD/src/test/java/org/tribuo/classification/sgd/fm/TestFMClassification.java b/Classification/SGD/src/test/java/org/tribuo/classification/sgd/fm/TestFMClassification.java
index f814244ee..1409d6d3b 100644
--- a/Classification/SGD/src/test/java/org/tribuo/classification/sgd/fm/TestFMClassification.java
+++ b/Classification/SGD/src/test/java/org/tribuo/classification/sgd/fm/TestFMClassification.java
@@ -89,7 +89,6 @@ public static Model<Label> testFMClassification(Pair<Dataset<Label>,Dataset<Labe
     public void testDenseData() {
         Pair<Dataset<Label>,Dataset<Label>> p = LabelledDataGenerator.denseTrainTest();
         Model<Label> model = testFMClassification(p);
-        Helpers.testModelSerialization(model, Label.class);
         Helpers.testModelProtoSerialization(model, Label.class, p.getB());
     }
 
diff --git a/Classification/SGD/src/test/java/org/tribuo/classification/sgd/kernel/TestSGDKernel.java b/Classification/SGD/src/test/java/org/tribuo/classification/sgd/kernel/TestSGDKernel.java
index bcb201e1a..59715dbf1 100644
--- a/Classification/SGD/src/test/java/org/tribuo/classification/sgd/kernel/TestSGDKernel.java
+++ b/Classification/SGD/src/test/java/org/tribuo/classification/sgd/kernel/TestSGDKernel.java
@@ -74,7 +74,6 @@ public static Model<Label> testSGDKernel(Pair<Dataset<Label>,Dataset<Label>> p)
     public void testDenseData() {
         Pair<Dataset<Label>,Dataset<Label>> p = LabelledDataGenerator.denseTrainTest();
         Model<Label> model = testSGDKernel(p);
-        Helpers.testModelSerialization(model,Label.class);
         Helpers.testModelProtoSerialization(model, Label.class, p.getB());
     }
 
diff --git a/Classification/SGD/src/test/java/org/tribuo/classification/sgd/linear/TestSGDLinear.java b/Classification/SGD/src/test/java/org/tribuo/classification/sgd/linear/TestSGDLinear.java
index 02c72ec97..c3574f5b5 100644
--- a/Classification/SGD/src/test/java/org/tribuo/classification/sgd/linear/TestSGDLinear.java
+++ b/Classification/SGD/src/test/java/org/tribuo/classification/sgd/linear/TestSGDLinear.java
@@ -119,7 +119,6 @@ public void testOnnxSerialization() throws IOException, OrtException {
     public void testDenseData() {
         Pair<Dataset<Label>,Dataset<Label>> p = LabelledDataGenerator.denseTrainTest();
         Model<Label> model = testSGDLinear(p);
-        Helpers.testModelSerialization(model,Label.class);
         Helpers.testModelProtoSerialization(model, Label.class, p.getB());
     }
 
diff --git a/Classification/XGBoost/src/test/java/org/tribuo/classification/xgboost/TestXGBoost.java b/Classification/XGBoost/src/test/java/org/tribuo/classification/xgboost/TestXGBoost.java
index 32a8eaa56..57d32076c 100644
--- a/Classification/XGBoost/src/test/java/org/tribuo/classification/xgboost/TestXGBoost.java
+++ b/Classification/XGBoost/src/test/java/org/tribuo/classification/xgboost/TestXGBoost.java
@@ -230,7 +230,6 @@ public void testFeatureImportanceSmokeTest() {
     public void testDenseData() {
         Pair<Dataset<Label>,Dataset<Label>> p = LabelledDataGenerator.denseTrainTest();
         Model<Label> model = testXGBoost(t,p);
-        Helpers.testModelSerialization(model,Label.class);
         Helpers.testModelProtoSerialization(model, Label.class, p.getB());
         testXGBoost(dart,p);
         testXGBoost(linear,p);
diff --git a/Classification/XGBoost/src/test/java/org/tribuo/classification/xgboost/TestXGBoostExternalModel.java b/Classification/XGBoost/src/test/java/org/tribuo/classification/xgboost/TestXGBoostExternalModel.java
index e88f1d432..df33bc2e6 100644
--- a/Classification/XGBoost/src/test/java/org/tribuo/classification/xgboost/TestXGBoostExternalModel.java
+++ b/Classification/XGBoost/src/test/java/org/tribuo/classification/xgboost/TestXGBoostExternalModel.java
@@ -71,7 +71,6 @@ public void testMNIST() throws IOException, URISyntaxException {
         assertEquals(1.0, evaluation.accuracy(), 1e-6);
         assertEquals(0.0, evaluation.balancedErrorRate(), 1e-6);
 
-        Helpers.testModelSerialization(transposedMNISTXGB,Label.class);
         Helpers.testModelProtoSerialization(transposedMNISTXGB, Label.class, transposedMNIST);
     }
 
diff --git a/Clustering/Hdbscan/src/main/java/org/tribuo/clustering/hdbscan/HdbscanTrainer.java b/Clustering/Hdbscan/src/main/java/org/tribuo/clustering/hdbscan/HdbscanTrainer.java
index cbe3237b5..745a1c696 100644
--- a/Clustering/Hdbscan/src/main/java/org/tribuo/clustering/hdbscan/HdbscanTrainer.java
+++ b/Clustering/Hdbscan/src/main/java/org/tribuo/clustering/hdbscan/HdbscanTrainer.java
@@ -42,7 +42,6 @@
 import org.tribuo.provenance.TrainerProvenance;
 import org.tribuo.provenance.impl.TrainerProvenanceImpl;
 
-import java.io.Serializable;
 import java.time.OffsetDateTime;
 import java.util.ArrayDeque;
 import java.util.ArrayList;
@@ -917,8 +916,7 @@ public TrainerProvenance getProvenance() {
     /**
      * A cluster exemplar, with attributes for the point's label, outlier score and its features.
      */
-    public final static class ClusterExemplar implements Serializable {
-        private static final long serialVersionUID = 1L;
+    public final static class ClusterExemplar {
 
         private final Integer label;
         private final Double outlierScore;
diff --git a/Clustering/Hdbscan/src/test/java/org/tribuo/clustering/hdbscan/TestHdbscan.java b/Clustering/Hdbscan/src/test/java/org/tribuo/clustering/hdbscan/TestHdbscan.java
index 2194e1606..32c923081 100644
--- a/Clustering/Hdbscan/src/test/java/org/tribuo/clustering/hdbscan/TestHdbscan.java
+++ b/Clustering/Hdbscan/src/test/java/org/tribuo/clustering/hdbscan/TestHdbscan.java
@@ -356,7 +356,6 @@ public static void runEvaluation(HdbscanTrainer trainer) {
 
         HdbscanModel model = trainer.train(trainData);
         // Test serialization
-        Helpers.testModelSerialization(model,ClusterID.class);
         Helpers.testModelProtoSerialization(model, ClusterID.class, testData);
 
         ClusteringEvaluation trainEvaluation = eval.evaluate(model,trainData);
diff --git a/Clustering/KMeans/src/test/java/org/tribuo/clustering/kmeans/TestKMeans.java b/Clustering/KMeans/src/test/java/org/tribuo/clustering/kmeans/TestKMeans.java
index 0dd2fbcda..dd9b11c40 100644
--- a/Clustering/KMeans/src/test/java/org/tribuo/clustering/kmeans/TestKMeans.java
+++ b/Clustering/KMeans/src/test/java/org/tribuo/clustering/kmeans/TestKMeans.java
@@ -83,7 +83,6 @@ public static void runEvaluation(KMeansTrainer trainer) {
 
         KMeansModel model = trainer.train(data);
 
-        Helpers.testModelSerialization(model, ClusterID.class);
         Helpers.testModelProtoSerialization(model, ClusterID.class, test);
 
         ClusteringEvaluation trainEvaluation = eval.evaluate(model,data);
@@ -110,7 +109,7 @@ public static Model<ClusterID> runDenseData(KMeansTrainer trainer) {
     @Test
     public void testDenseData() {
         Model<ClusterID> model = runDenseData(t);
-        Helpers.testModelSerialization(model,ClusterID.class);
+        Helpers.testModelProtoSerialization(model,ClusterID.class);
     }
 
     @Test
diff --git a/Common/LibLinear/src/main/java/org/tribuo/common/liblinear/LibLinearType.java b/Common/LibLinear/src/main/java/org/tribuo/common/liblinear/LibLinearType.java
index bd860287d..834b10d4c 100644
--- a/Common/LibLinear/src/main/java/org/tribuo/common/liblinear/LibLinearType.java
+++ b/Common/LibLinear/src/main/java/org/tribuo/common/liblinear/LibLinearType.java
@@ -22,8 +22,6 @@
 import org.tribuo.Output;
 import de.bwaldvogel.liblinear.SolverType;
 
-import java.io.Serializable;
-
 /**
  * A carrier type for the liblinear algorithm type. It really wants to be a set of enums with
  * different type parameters, but it's encoded as an interface where each
@@ -45,7 +43,7 @@
  * <li>L2R_L1LOSS_SVR_DUAL - L2-regularized L1-loss support vector regression (dual)</li>
  * </ul>
  */
-public interface LibLinearType<T extends Output<T>> extends Configurable, Provenancable<ConfiguredObjectProvenance>, Serializable {
+public interface LibLinearType<T extends Output<T>> extends Configurable, Provenancable<ConfiguredObjectProvenance> {
     /*
     // L2-regularized logistic regression (primal)
     L2R_LR,
diff --git a/Common/LibSVM/src/main/java/org/tribuo/common/libsvm/KernelType.java b/Common/LibSVM/src/main/java/org/tribuo/common/libsvm/KernelType.java
index bb01845cd..4dfdf854c 100644
--- a/Common/LibSVM/src/main/java/org/tribuo/common/libsvm/KernelType.java
+++ b/Common/LibSVM/src/main/java/org/tribuo/common/libsvm/KernelType.java
@@ -16,12 +16,10 @@
 
 package org.tribuo.common.libsvm;
 
-import java.io.Serializable;
-
 /**
  * Kernel types from libsvm.
  */
-public enum KernelType implements Serializable {
+public enum KernelType {
     /**
      * A linear kernel function (i.e., a dot product).
      */
diff --git a/Common/LibSVM/src/main/java/org/tribuo/common/libsvm/LibSVMModel.java b/Common/LibSVM/src/main/java/org/tribuo/common/libsvm/LibSVMModel.java
index a78fed102..4d903400d 100644
--- a/Common/LibSVM/src/main/java/org/tribuo/common/libsvm/LibSVMModel.java
+++ b/Common/LibSVM/src/main/java/org/tribuo/common/libsvm/LibSVMModel.java
@@ -32,7 +32,6 @@
 import libsvm.svm_node;
 import org.tribuo.util.Util;
 
-import java.io.Serializable;
 import java.util.ArrayList;
 import java.util.Arrays;
 import java.util.Collections;
@@ -65,8 +64,7 @@
  * Machine Learning, 1995.
  * </pre>
  */
-public abstract class LibSVMModel<T extends Output<T>> extends Model<T> implements Serializable {
-    private static final long serialVersionUID = 3L;
+public abstract class LibSVMModel<T extends Output<T>> extends Model<T> {
 
     private static final Logger logger = Logger.getLogger(LibSVMModel.class.getName());
 
diff --git a/Common/LibSVM/src/main/java/org/tribuo/common/libsvm/SVMParameters.java b/Common/LibSVM/src/main/java/org/tribuo/common/libsvm/SVMParameters.java
index 15f8fe38b..758837184 100644
--- a/Common/LibSVM/src/main/java/org/tribuo/common/libsvm/SVMParameters.java
+++ b/Common/LibSVM/src/main/java/org/tribuo/common/libsvm/SVMParameters.java
@@ -19,16 +19,14 @@
 import org.tribuo.Output;
 import libsvm.svm_parameter;
 
-import java.io.Serializable;
 import java.util.Arrays;
 import java.util.logging.Logger;
 
 /**
  * A container for SVM parameters and the kernel.
  */
-public class SVMParameters<T extends Output<T>> implements Serializable {
-    private static final long serialVersionUID = 1L;
-    
+public class SVMParameters<T extends Output<T>> {
+
     private static final Logger logger = Logger.getLogger(SVMParameters.class.getName());
 
     /**
diff --git a/Common/LibSVM/src/main/java/org/tribuo/common/libsvm/SVMType.java b/Common/LibSVM/src/main/java/org/tribuo/common/libsvm/SVMType.java
index 669e6a037..63c2b64ea 100644
--- a/Common/LibSVM/src/main/java/org/tribuo/common/libsvm/SVMType.java
+++ b/Common/LibSVM/src/main/java/org/tribuo/common/libsvm/SVMType.java
@@ -21,8 +21,6 @@
 import com.oracle.labs.mlrg.olcut.provenance.Provenancable;
 import org.tribuo.Output;
 
-import java.io.Serializable;
-
 /**
  * A carrier type for the SVM type. It really wants to be a set of enums with
  * different type parameters, but it's encoded as an interface where each
@@ -38,7 +36,7 @@
  * <li>NU_SVR(4) - nu-SVR, optimization in dual space.</li>
  * </ul>
  */
-public interface SVMType<T extends Output<T>> extends Configurable, Provenancable<ConfiguredObjectProvenance>, Serializable {
+public interface SVMType<T extends Output<T>> extends Configurable, Provenancable<ConfiguredObjectProvenance> {
     /**
      * Is this a classification algorithm.
      * @return True if it's a classification algorithm.
diff --git a/Common/NearestNeighbour/src/test/java/org/tribuo/common/nearest/TestKNN.java b/Common/NearestNeighbour/src/test/java/org/tribuo/common/nearest/TestKNN.java
index 0e7c504a9..093ea7f95 100644
--- a/Common/NearestNeighbour/src/test/java/org/tribuo/common/nearest/TestKNN.java
+++ b/Common/NearestNeighbour/src/test/java/org/tribuo/common/nearest/TestKNN.java
@@ -175,7 +175,6 @@ public void knnClassificationEvaluationTest() {
         assertEquals(evaluation.recall(DemoLabelDataSource.SECOND_CLASS), 1.0);
 
         // Test serialization
-        Helpers.testModelSerialization(model, Label.class);
         Helpers.testModelProtoSerialization(model, Label.class, testingDataset);
     }
 
@@ -187,7 +186,6 @@ public void knnRegressionSparseDataTest() {
         evaluator.evaluate(model, pair.getB());
 
         // Test serialization
-        Helpers.testModelSerialization(model,Regressor.class);
         Helpers.testModelProtoSerialization(model, Regressor.class, pair.getB());
     }
 
diff --git a/Common/Trees/src/main/java/org/tribuo/common/tree/LeafNode.java b/Common/Trees/src/main/java/org/tribuo/common/tree/LeafNode.java
index 28744de49..98d9b4ae8 100644
--- a/Common/Trees/src/main/java/org/tribuo/common/tree/LeafNode.java
+++ b/Common/Trees/src/main/java/org/tribuo/common/tree/LeafNode.java
@@ -37,7 +37,6 @@
  * to determine equality of two leaves.
  */
 public class LeafNode<T extends Output<T>> implements Node<T> {
-    private static final long serialVersionUID = 4L;
 
     /**
      * Protobuf serialization version.
diff --git a/Common/Trees/src/main/java/org/tribuo/common/tree/Node.java b/Common/Trees/src/main/java/org/tribuo/common/tree/Node.java
index 41bd50a04..57d182562 100644
--- a/Common/Trees/src/main/java/org/tribuo/common/tree/Node.java
+++ b/Common/Trees/src/main/java/org/tribuo/common/tree/Node.java
@@ -19,12 +19,10 @@
 import org.tribuo.Output;
 import org.tribuo.math.la.SparseVector;
 
-import java.io.Serializable;
-
 /**
  * A node in a decision tree.
  */
-public interface Node<T extends Output<T>> extends Serializable {
+public interface Node<T extends Output<T>> {
 
     /**
      * Is it a leaf node?
diff --git a/Common/Trees/src/main/java/org/tribuo/common/tree/SplitNode.java b/Common/Trees/src/main/java/org/tribuo/common/tree/SplitNode.java
index b126fb501..a9f370e8d 100644
--- a/Common/Trees/src/main/java/org/tribuo/common/tree/SplitNode.java
+++ b/Common/Trees/src/main/java/org/tribuo/common/tree/SplitNode.java
@@ -28,7 +28,6 @@
  * An immutable {@link Node} with a split and two child nodes.
  */
 public class SplitNode<T extends Output<T>> implements Node<T> {
-    private static final long serialVersionUID = 3L;
 
     /**
      * Protobuf serialization version.
diff --git a/Common/XGBoost/src/main/java/org/tribuo/common/xgboost/XGBoostOutputConverter.java b/Common/XGBoost/src/main/java/org/tribuo/common/xgboost/XGBoostOutputConverter.java
index 309a19d9e..3a1139a49 100644
--- a/Common/XGBoost/src/main/java/org/tribuo/common/xgboost/XGBoostOutputConverter.java
+++ b/Common/XGBoost/src/main/java/org/tribuo/common/xgboost/XGBoostOutputConverter.java
@@ -21,7 +21,6 @@
 import org.tribuo.Output;
 import org.tribuo.Prediction;
 
-import java.io.Serializable;
 import java.util.List;
 import org.tribuo.common.xgboost.protos.XGBoostOutputConverterProto;
 import org.tribuo.protos.ProtoSerializable;
@@ -30,7 +29,7 @@
  * Converts the output of XGBoost into the appropriate prediction type.
  */
 public interface XGBoostOutputConverter<T extends Output<T>> extends
-    ProtoSerializable<XGBoostOutputConverterProto>, Serializable {
+    ProtoSerializable<XGBoostOutputConverterProto> {
 
     /**
      * Does this converter produce probabilities?
diff --git a/Core/src/main/java/org/tribuo/CategoricalIDInfo.java b/Core/src/main/java/org/tribuo/CategoricalIDInfo.java
index 322f574ba..b68734c18 100644
--- a/Core/src/main/java/org/tribuo/CategoricalIDInfo.java
+++ b/Core/src/main/java/org/tribuo/CategoricalIDInfo.java
@@ -32,7 +32,6 @@
  */
 @ProtoSerializableClass(version = CategoricalIDInfo.CURRENT_VERSION, serializedDataClass = CategoricalIDInfoProto.class)
 public class CategoricalIDInfo extends CategoricalInfo implements VariableIDInfo {
-    private static final long serialVersionUID = 2L;
 
     /**
      * Protobuf serialization version.
diff --git a/Core/src/main/java/org/tribuo/CategoricalInfo.java b/Core/src/main/java/org/tribuo/CategoricalInfo.java
index ca34ddcdc..bd2e3806d 100644
--- a/Core/src/main/java/org/tribuo/CategoricalInfo.java
+++ b/Core/src/main/java/org/tribuo/CategoricalInfo.java
@@ -58,7 +58,6 @@
  */
 @ProtoSerializableClass(version = CategoricalInfo.CURRENT_VERSION, serializedDataClass = CategoricalInfoProto.class)
 public class CategoricalInfo extends SkeletalVariableInfo {
-    private static final long serialVersionUID = 2L;
 
     /**
      * Protobuf serialization version.
diff --git a/Core/src/main/java/org/tribuo/Dataset.java b/Core/src/main/java/org/tribuo/Dataset.java
index c25efcc5b..306512d81 100644
--- a/Core/src/main/java/org/tribuo/Dataset.java
+++ b/Core/src/main/java/org/tribuo/Dataset.java
@@ -38,7 +38,6 @@
 import java.io.IOException;
 import java.io.InputStream;
 import java.io.OutputStream;
-import java.io.Serializable;
 import java.nio.file.Files;
 import java.nio.file.Path;
 import java.util.ArrayList;
@@ -64,8 +63,7 @@
  * @param <T> the type of the features in the data set.
  */
 public abstract class Dataset<T extends Output<T>> implements Iterable<Example<T>>, ProtoSerializable<DatasetProto>,
-    Provenancable<DatasetProvenance>, Serializable {
-    private static final long serialVersionUID = 2L;
+    Provenancable<DatasetProvenance> {
 
     private static final Logger logger = Logger.getLogger(Dataset.class.getName());
 
diff --git a/Core/src/main/java/org/tribuo/Example.java b/Core/src/main/java/org/tribuo/Example.java
index e73bc1610..8aa3c4871 100644
--- a/Core/src/main/java/org/tribuo/Example.java
+++ b/Core/src/main/java/org/tribuo/Example.java
@@ -24,7 +24,6 @@
 import org.tribuo.transform.TransformerMap;
 import org.tribuo.util.Merger;
 
-import java.io.Serializable;
 import java.util.ArrayList;
 import java.util.Collection;
 import java.util.Collections;
@@ -44,14 +43,12 @@
  * Examples have metadata associated with them, stored as a map from a String key, to
  * an Object value. This metadata is append only for any given example, and the metadata
  * values should be immutable (as they will be referenced rather than copied when an
- * example is copied). Values with are not {@link Serializable} will cause exceptions if
- * the example is serialized. Note protobuf serialization only supports string values, and will
+ * example is copied). Note protobuf serialization only supports string values, and will
  * coerce all values to strings before serialization. In a future release metadata will only
  * support {@link String} values.
  * @param <T> The type of output that this example contains.
  */
-public abstract class Example<T extends Output<T>> implements Iterable<Feature>, ProtoSerializable<ExampleProto>, Serializable {
-    private static final long serialVersionUID = 1L;
+public abstract class Example<T extends Output<T>> implements Iterable<Feature>, ProtoSerializable<ExampleProto> {
 
     /**
      * The default initial size of the metadata map.
diff --git a/Core/src/main/java/org/tribuo/Feature.java b/Core/src/main/java/org/tribuo/Feature.java
index 6e502c38b..a95f4ca34 100644
--- a/Core/src/main/java/org/tribuo/Feature.java
+++ b/Core/src/main/java/org/tribuo/Feature.java
@@ -16,7 +16,6 @@
 
 package org.tribuo;
 
-import java.io.Serializable;
 import java.util.Comparator;
 import java.util.logging.Level;
 import java.util.logging.Logger;
@@ -28,8 +27,7 @@
  * to be long lived objects. They may be deconstructed when stored in an Example.
  * One day they should become value/inline types.
  */
-public class Feature implements Serializable, Cloneable, Comparable<Feature> {
-    private static final long serialVersionUID = 1L;
+public class Feature implements  Cloneable, Comparable<Feature> {
 
     private static final Logger logger = Logger.getLogger(Feature.class.getName());
 
diff --git a/Core/src/main/java/org/tribuo/FeatureMap.java b/Core/src/main/java/org/tribuo/FeatureMap.java
index b659c298e..3b21c31d4 100644
--- a/Core/src/main/java/org/tribuo/FeatureMap.java
+++ b/Core/src/main/java/org/tribuo/FeatureMap.java
@@ -21,7 +21,6 @@
 import org.tribuo.protos.ProtoSerializableMapValuesField;
 import org.tribuo.protos.ProtoUtil;
 
-import java.io.Serializable;
 import java.util.HashMap;
 import java.util.Iterator;
 import java.util.Map;
@@ -33,8 +32,7 @@
  * A map from Strings to {@link VariableInfo} objects storing
  * information about a feature.
  */
-public abstract class FeatureMap implements Serializable, ProtoSerializable<FeatureDomainProto>, Iterable<VariableInfo> {
-    private static final long serialVersionUID = 1L;
+public abstract class FeatureMap implements  ProtoSerializable<FeatureDomainProto>, Iterable<VariableInfo> {
 
     /**
      * Map from the feature names to their info.
diff --git a/Core/src/main/java/org/tribuo/ImmutableDataset.java b/Core/src/main/java/org/tribuo/ImmutableDataset.java
index d2f19de17..e64aeab7d 100644
--- a/Core/src/main/java/org/tribuo/ImmutableDataset.java
+++ b/Core/src/main/java/org/tribuo/ImmutableDataset.java
@@ -28,7 +28,6 @@
 import org.tribuo.provenance.DatasetProvenance;
 import org.tribuo.util.Merger;
 
-import java.io.Serializable;
 import java.util.ArrayList;
 import java.util.List;
 import java.util.Set;
@@ -42,8 +41,7 @@
  * This class is mostly for performance optimisations inside the framework, and should not
  * generally be used by external code.
  */
-public class ImmutableDataset<T extends Output<T>> extends Dataset<T> implements Serializable {
-    private static final long serialVersionUID = 1L;
+public class ImmutableDataset<T extends Output<T>> extends Dataset<T> {
 
     private static final Logger logger = Logger.getLogger(ImmutableDataset.class.getName());
 
diff --git a/Core/src/main/java/org/tribuo/ImmutableFeatureMap.java b/Core/src/main/java/org/tribuo/ImmutableFeatureMap.java
index 3aa57d9c4..fbecf3d97 100644
--- a/Core/src/main/java/org/tribuo/ImmutableFeatureMap.java
+++ b/Core/src/main/java/org/tribuo/ImmutableFeatureMap.java
@@ -24,7 +24,6 @@
 import org.tribuo.protos.core.ImmutableFeatureMapProto;
 import org.tribuo.protos.core.VariableInfoProto;
 
-import java.io.Serializable;
 import java.util.HashMap;
 import java.util.List;
 import java.util.Map;
@@ -41,8 +40,7 @@
  * {@link Example}s and {@link ImmutableFeatureMap}.
  */
 @ProtoSerializableClass(version = ImmutableFeatureMap.CURRENT_VERSION, serializedDataClass = ImmutableFeatureMapProto.class)
-public class ImmutableFeatureMap extends FeatureMap implements Serializable {
-    private static final long serialVersionUID = 1L;
+public class ImmutableFeatureMap extends FeatureMap {
 
     /**
      * Protobuf serialization version.
diff --git a/Core/src/main/java/org/tribuo/Model.java b/Core/src/main/java/org/tribuo/Model.java
index 2051e6d96..453e67a8d 100644
--- a/Core/src/main/java/org/tribuo/Model.java
+++ b/Core/src/main/java/org/tribuo/Model.java
@@ -32,7 +32,6 @@
 import java.io.IOException;
 import java.io.InputStream;
 import java.io.OutputStream;
-import java.io.Serializable;
 import java.nio.file.Files;
 import java.nio.file.Path;
 import java.util.ArrayList;
@@ -53,8 +52,7 @@
  * of Tribuo.
  * @param <T> the type of prediction produced by the model.
  */
-public abstract class Model<T extends Output<T>> implements ProtoSerializable<ModelProto>, Provenancable<ModelProvenance>, Serializable {
-    private static final long serialVersionUID = 2L;
+public abstract class Model<T extends Output<T>> implements ProtoSerializable<ModelProto>, Provenancable<ModelProvenance> {
 
     /**
      * Used in getTopFeatures when the Model doesn't support per output feature lists.
diff --git a/Core/src/main/java/org/tribuo/ModelExplorer.java b/Core/src/main/java/org/tribuo/ModelExplorer.java
index fc870e822..e7b63a6e1 100644
--- a/Core/src/main/java/org/tribuo/ModelExplorer.java
+++ b/Core/src/main/java/org/tribuo/ModelExplorer.java
@@ -26,12 +26,8 @@
 import org.jline.reader.Completer;
 import org.jline.reader.impl.completer.NullCompleter;
 
-import java.io.BufferedInputStream;
 import java.io.File;
-import java.io.FileInputStream;
-import java.io.FileNotFoundException;
 import java.io.IOException;
-import java.io.ObjectInputStream;
 import java.util.logging.Level;
 import java.util.logging.Logger;
 
@@ -89,32 +85,18 @@ public void startShell() {
      * Loads a model.
      * @param ci The shell instance.
      * @param path The path to load.
-     * @param protobuf If the model is a protobuf.
      * @return A status string.
      */
     @Command(usage = "<filename> - Load a model from disk.", completers="fileCompleter")
-    public String loadModel(CommandInterpreter ci, File path, boolean protobuf) {
+    public String loadModel(CommandInterpreter ci, File path) {
         String output = "Failed to load model";
-        if (protobuf) {
-            try {
-                model = Model.deserializeFromFile(path.toPath());
-                output = "Loaded model from path " + path.getAbsolutePath();
-            } catch (IllegalStateException e) {
-                logger.log(Level.SEVERE, "Failed to deserialize protobuf when reading from file " + path.getAbsolutePath(), e);
-            } catch (IOException e) {
-                logger.log(Level.SEVERE, "IOException when reading from file " + path.getAbsolutePath(), e);
-            }
-        } else {
-            try (ObjectInputStream ois = new ObjectInputStream(new BufferedInputStream(new FileInputStream(path)))) {
-                model = (Model<?>) ois.readObject();
-                output = "Loaded model from path " + path.getAbsolutePath();
-            } catch (ClassNotFoundException e) {
-                logger.log(Level.SEVERE, "Failed to load class from stream " + path.getAbsolutePath(), e);
-            } catch (FileNotFoundException e) {
-                logger.log(Level.SEVERE, "Failed to open file " + path.getAbsolutePath(), e);
-            } catch (IOException e) {
-                logger.log(Level.SEVERE, "IOException when reading from file " + path.getAbsolutePath(), e);
-            }
+        try {
+            model = Model.deserializeFromFile(path.toPath());
+            output = "Loaded model from path " + path.getAbsolutePath();
+        } catch (IllegalStateException e) {
+            logger.log(Level.SEVERE, "Failed to deserialize protobuf when reading from file " + path.getAbsolutePath(), e);
+        } catch (IOException e) {
+            logger.log(Level.SEVERE, "IOException when reading from file " + path.getAbsolutePath(), e);
         }
 
         return output;
@@ -213,12 +195,6 @@ public static class ModelExplorerOptions implements Options {
          */
         @Option(charName = 'f', longName = "filename", usage = "Model file to load. Optional.")
         public String modelFilename;
-
-        /**
-         * Load the model from a protobuf. Optional.
-         */
-        @Option(charName = 'p', longName = "protobuf-model", usage = "Load the model from a protobuf. Optional")
-        public boolean protobufFormat;
     }
 
     /**
@@ -230,7 +206,7 @@ public static void main(String[] args) {
         ConfigurationManager cm = new ConfigurationManager(args,options,false);
         ModelExplorer driver = new ModelExplorer();
         if (options.modelFilename != null) {
-            logger.log(Level.INFO,driver.loadModel(driver.shell, new File(options.modelFilename), options.protobufFormat));
+            logger.log(Level.INFO,driver.loadModel(driver.shell, new File(options.modelFilename)));
         }
         driver.startShell();
     }
diff --git a/Core/src/main/java/org/tribuo/MutableDataset.java b/Core/src/main/java/org/tribuo/MutableDataset.java
index b416ec327..6e606d0ca 100644
--- a/Core/src/main/java/org/tribuo/MutableDataset.java
+++ b/Core/src/main/java/org/tribuo/MutableDataset.java
@@ -45,8 +45,6 @@ public class MutableDataset<T extends Output<T>> extends Dataset<T> {
     
     private static final Logger logger = Logger.getLogger(MutableDataset.class.getName());
     
-    private static final long serialVersionUID = 1L;
-
     /**
      * Protobuf serialization version.
      */
diff --git a/Core/src/main/java/org/tribuo/MutableFeatureMap.java b/Core/src/main/java/org/tribuo/MutableFeatureMap.java
index 2653a165f..4df0b242c 100644
--- a/Core/src/main/java/org/tribuo/MutableFeatureMap.java
+++ b/Core/src/main/java/org/tribuo/MutableFeatureMap.java
@@ -32,7 +32,6 @@
  */
 @ProtoSerializableClass(version = MutableFeatureMap.CURRENT_VERSION, serializedDataClass = MutableFeatureMapProto.class)
 public class MutableFeatureMap extends FeatureMap {
-    private static final long serialVersionUID = 2L;
 
     /**
      * Protobuf serialization version.
diff --git a/Core/src/main/java/org/tribuo/Output.java b/Core/src/main/java/org/tribuo/Output.java
index 830058c66..c40458335 100644
--- a/Core/src/main/java/org/tribuo/Output.java
+++ b/Core/src/main/java/org/tribuo/Output.java
@@ -20,8 +20,6 @@
 import org.tribuo.protos.ProtoUtil;
 import org.tribuo.protos.core.OutputProto;
 
-import java.io.Serializable;
-
 /**
  * Output is the root interface for the supported prediction types.
  * <p>
@@ -36,7 +34,7 @@
  * Equals and hashcode are defined to only look at the strings stored in an Output, not any score
  * values. For equality that takes into account the scores, use {@link Output#fullEquals}.
  */
-public interface Output<T extends Output<T>> extends ProtoSerializable<OutputProto>, Serializable {
+public interface Output<T extends Output<T>> extends ProtoSerializable<OutputProto> {
 
     /**
      * Deep copy of the output up to its immutable state.
diff --git a/Core/src/main/java/org/tribuo/OutputFactory.java b/Core/src/main/java/org/tribuo/OutputFactory.java
index c8e8efe25..d8f39f014 100644
--- a/Core/src/main/java/org/tribuo/OutputFactory.java
+++ b/Core/src/main/java/org/tribuo/OutputFactory.java
@@ -25,7 +25,6 @@
 import org.tribuo.protos.core.OutputFactoryProto;
 import org.tribuo.provenance.OutputFactoryProvenance;
 
-import java.io.Serializable;
 import java.util.ArrayList;
 import java.util.HashMap;
 import java.util.List;
@@ -37,7 +36,7 @@
  * <p>
  * Must be {@link Configurable} so it can be loaded from an olcut config file.
  */
-public interface OutputFactory<T extends Output<T>> extends Configurable, ProtoSerializable<OutputFactoryProto>, Provenancable<OutputFactoryProvenance>, Serializable {
+public interface OutputFactory<T extends Output<T>> extends Configurable, ProtoSerializable<OutputFactoryProto>, Provenancable<OutputFactoryProvenance> {
 
     /**
      * Parses the {@code V} and generates the appropriate {@link Output} value.
diff --git a/Core/src/main/java/org/tribuo/OutputInfo.java b/Core/src/main/java/org/tribuo/OutputInfo.java
index ca14fae4c..dfd696131 100644
--- a/Core/src/main/java/org/tribuo/OutputInfo.java
+++ b/Core/src/main/java/org/tribuo/OutputInfo.java
@@ -21,7 +21,6 @@
 import org.tribuo.protos.ProtoUtil;
 import org.tribuo.protos.core.OutputDomainProto;
 
-import java.io.Serializable;
 import java.util.Set;
 
 /**
@@ -30,7 +29,7 @@
  * Can generate a {@link ImmutableOutputInfo} which contains id numbers, and
  * a {@link MutableOutputInfo} for repeated training with more data.
  */
-public interface OutputInfo<T extends Output<T>> extends ProtoSerializable<OutputDomainProto>, Serializable {
+public interface OutputInfo<T extends Output<T>> extends ProtoSerializable<OutputDomainProto> {
 
     /**
      * Returns a set of {@link Output} which represent the space of possible
diff --git a/Core/src/main/java/org/tribuo/Prediction.java b/Core/src/main/java/org/tribuo/Prediction.java
index 84ed37862..da4afc0c1 100644
--- a/Core/src/main/java/org/tribuo/Prediction.java
+++ b/Core/src/main/java/org/tribuo/Prediction.java
@@ -18,7 +18,6 @@
 
 import com.google.protobuf.Any;
 import com.google.protobuf.InvalidProtocolBufferException;
-import java.io.Serializable;
 import java.util.Collections;
 import java.util.HashMap;
 import java.util.LinkedHashMap;
@@ -42,8 +41,7 @@
  * and how many features originally existed in the {@link Example}.
  */
 @ProtoSerializableClass(version = Prediction.CURRENT_VERSION, serializedDataClass = PredictionImplProto.class)
-public class Prediction<T extends Output<T>> implements ProtoSerializable<PredictionProto>, Serializable {
-    private static final long serialVersionUID = 1L;
+public class Prediction<T extends Output<T>> implements ProtoSerializable<PredictionProto> {
 
     /**
      * The current protobuf serialization version of this class.
diff --git a/Core/src/main/java/org/tribuo/RealIDInfo.java b/Core/src/main/java/org/tribuo/RealIDInfo.java
index c7e52ad3b..5af30e8a4 100644
--- a/Core/src/main/java/org/tribuo/RealIDInfo.java
+++ b/Core/src/main/java/org/tribuo/RealIDInfo.java
@@ -29,7 +29,6 @@
  */
 @ProtoSerializableClass(version = RealIDInfo.CURRENT_VERSION, serializedDataClass = RealIDInfoProto.class)
 public class RealIDInfo extends RealInfo implements VariableIDInfo {
-    private static final long serialVersionUID = 1L;
 
     /**
      * Protobuf serialization version.
diff --git a/Core/src/main/java/org/tribuo/RealInfo.java b/Core/src/main/java/org/tribuo/RealInfo.java
index 6802835fa..6910534b8 100644
--- a/Core/src/main/java/org/tribuo/RealInfo.java
+++ b/Core/src/main/java/org/tribuo/RealInfo.java
@@ -37,7 +37,6 @@
  */
 @ProtoSerializableClass(version = RealInfo.CURRENT_VERSION, serializedDataClass = RealInfoProto.class)
 public class RealInfo extends SkeletalVariableInfo {
-    private static final long serialVersionUID = 1L;
 
     /**
      * Protobuf serialization version.
diff --git a/Core/src/main/java/org/tribuo/SelectedFeatureSet.java b/Core/src/main/java/org/tribuo/SelectedFeatureSet.java
index 7d0284399..0860618cc 100644
--- a/Core/src/main/java/org/tribuo/SelectedFeatureSet.java
+++ b/Core/src/main/java/org/tribuo/SelectedFeatureSet.java
@@ -29,7 +29,6 @@
 import org.tribuo.protos.core.SelectedFeatureSetProto;
 import org.tribuo.provenance.FeatureSetProvenance;
 
-import java.io.Serializable;
 import java.util.Collections;
 import java.util.List;
 import java.util.Objects;
@@ -40,8 +39,7 @@
  * Uses record style accessors as it may be refactored into a record one day.
  */
 @ProtoSerializableClass(serializedDataClass = SelectedFeatureSetProto.class, version = SelectedFeatureSet.CURRENT_VERSION)
-public final class SelectedFeatureSet implements ProtoSerializable<FeatureSetProto>, Provenancable<FeatureSetProvenance>, Serializable {
-    private static final long serialVersionUID = 1L;
+public final class SelectedFeatureSet implements ProtoSerializable<FeatureSetProto>, Provenancable<FeatureSetProvenance> {
 
     /**
      * Protobuf serialization version.
diff --git a/Core/src/main/java/org/tribuo/SkeletalVariableInfo.java b/Core/src/main/java/org/tribuo/SkeletalVariableInfo.java
index 8204c5b22..72e35f419 100644
--- a/Core/src/main/java/org/tribuo/SkeletalVariableInfo.java
+++ b/Core/src/main/java/org/tribuo/SkeletalVariableInfo.java
@@ -26,7 +26,6 @@
  * in a {@link Dataset}.
  */
 public abstract class SkeletalVariableInfo implements VariableInfo {
-    private static final long serialVersionUID = 2L;
 
     private static final Logger logger = Logger.getLogger(SkeletalVariableInfo.class.getName());
 
diff --git a/Core/src/main/java/org/tribuo/SparseModel.java b/Core/src/main/java/org/tribuo/SparseModel.java
index 0e63b95f9..9c7ba347b 100644
--- a/Core/src/main/java/org/tribuo/SparseModel.java
+++ b/Core/src/main/java/org/tribuo/SparseModel.java
@@ -28,7 +28,6 @@
  * A model which uses a subset of the features it knows about to make predictions.
  */
 public abstract class SparseModel<T extends Output<T>> extends Model<T> {
-    private static final long serialVersionUID = 1L;
 
     private final Map<String,List<String>> activeFeatures;
 
diff --git a/Core/src/main/java/org/tribuo/VariableInfo.java b/Core/src/main/java/org/tribuo/VariableInfo.java
index 04655cc33..d5a7636e7 100644
--- a/Core/src/main/java/org/tribuo/VariableInfo.java
+++ b/Core/src/main/java/org/tribuo/VariableInfo.java
@@ -20,14 +20,13 @@
 import org.tribuo.protos.ProtoUtil;
 import org.tribuo.protos.core.VariableInfoProto;
 
-import java.io.Serializable;
 import java.util.SplittableRandom;
 
 /**
  * A VariableInfo subclass contains information about a feature and
  * its observed values.
  */
-public interface VariableInfo extends Serializable, ProtoSerializable<VariableInfoProto>, Cloneable {
+public interface VariableInfo extends ProtoSerializable<VariableInfoProto>, Cloneable {
     /**
      * The name of this feature.
      * @return The feature name.
diff --git a/Core/src/main/java/org/tribuo/ensemble/EnsembleCombiner.java b/Core/src/main/java/org/tribuo/ensemble/EnsembleCombiner.java
index f426baa7e..dd65ca86b 100644
--- a/Core/src/main/java/org/tribuo/ensemble/EnsembleCombiner.java
+++ b/Core/src/main/java/org/tribuo/ensemble/EnsembleCombiner.java
@@ -28,14 +28,13 @@
 import org.tribuo.util.onnx.ONNXNode;
 import org.tribuo.util.onnx.ONNXRef;
 
-import java.io.Serializable;
 import java.util.List;
 import java.util.logging.Logger;
 
 /**
  * An interface for combining predictions. Implementations should be final and immutable.
  */
-public interface EnsembleCombiner<T extends Output<T>> extends Configurable, ProtoSerializable<EnsembleCombinerProto>, Provenancable<ConfiguredObjectProvenance>, Serializable {
+public interface EnsembleCombiner<T extends Output<T>> extends Configurable, ProtoSerializable<EnsembleCombinerProto>, Provenancable<ConfiguredObjectProvenance> {
 
     /**
      * Combine the predictions.
diff --git a/Core/src/main/java/org/tribuo/hash/Hasher.java b/Core/src/main/java/org/tribuo/hash/Hasher.java
index 7fe4b9d13..cd37d4e90 100644
--- a/Core/src/main/java/org/tribuo/hash/Hasher.java
+++ b/Core/src/main/java/org/tribuo/hash/Hasher.java
@@ -23,17 +23,14 @@
 import org.tribuo.protos.ProtoUtil;
 import org.tribuo.protos.core.HasherProto;
 
-import java.io.Serializable;
-
 /**
  * An abstract base class for hash functions used to hash the names of features.
  * <p>
  * Hasher implementations do not serialize the salt in their serialized forms, and
  * thus the salt must be set after deserialization.
  */
-public abstract class Hasher implements Configurable, Provenancable<ConfiguredObjectProvenance>, Serializable,
-        ProtoSerializable<HasherProto>  {
-    private static final long serialVersionUID = 2L;
+public abstract class Hasher implements Configurable, Provenancable<ConfiguredObjectProvenance>,
+        ProtoSerializable<HasherProto> {
 
     /**
      * The minimum length of the salt. Salts shorter than this will not validate.
diff --git a/Core/src/main/java/org/tribuo/impl/ListExample.java b/Core/src/main/java/org/tribuo/impl/ListExample.java
index d130244c7..2a09820a8 100644
--- a/Core/src/main/java/org/tribuo/impl/ListExample.java
+++ b/Core/src/main/java/org/tribuo/impl/ListExample.java
@@ -30,7 +30,6 @@
 import org.tribuo.transform.TransformerMap;
 import org.tribuo.util.Merger;
 
-import java.io.Serializable;
 import java.util.ArrayList;
 import java.util.Collection;
 import java.util.Collections;
@@ -48,9 +47,8 @@
  * An example that's a simple list of features. It is not guaranteed that feature instances are preserved.
  * @param <T> the type of the features in this example.
  */
-public class ListExample<T extends Output<T>> extends Example<T> implements Serializable {
+public class ListExample<T extends Output<T>> extends Example<T> {
     private static final Logger logger = Logger.getLogger(ListExample.class.getName());
-    private static final long serialVersionUID = 1L;
 
     /**
      * Protobuf serialization version.
diff --git a/Core/src/main/java/org/tribuo/sequence/ImmutableSequenceDataset.java b/Core/src/main/java/org/tribuo/sequence/ImmutableSequenceDataset.java
index 501d443a2..32c435cd4 100644
--- a/Core/src/main/java/org/tribuo/sequence/ImmutableSequenceDataset.java
+++ b/Core/src/main/java/org/tribuo/sequence/ImmutableSequenceDataset.java
@@ -35,7 +35,6 @@
 import org.tribuo.provenance.DatasetProvenance;
 import org.tribuo.util.Merger;
 
-import java.io.Serializable;
 import java.util.ArrayList;
 import java.util.List;
 import java.util.Set;
@@ -45,8 +44,7 @@
  * Whenever an example is added to this dataset it removes features that do not exist in the FeatureMap.
  * The dataset is immutable after construction (unless the examples are modified).
  */
-public class ImmutableSequenceDataset<T extends Output<T>> extends SequenceDataset<T> implements Serializable {
-    private static final long serialVersionUID = 1L;
+public class ImmutableSequenceDataset<T extends Output<T>> extends SequenceDataset<T> {
 
     /**
      * Protobuf serialization version.
diff --git a/Core/src/main/java/org/tribuo/sequence/IndependentSequenceModel.java b/Core/src/main/java/org/tribuo/sequence/IndependentSequenceModel.java
index cc975e43a..c4cde8a6d 100644
--- a/Core/src/main/java/org/tribuo/sequence/IndependentSequenceModel.java
+++ b/Core/src/main/java/org/tribuo/sequence/IndependentSequenceModel.java
@@ -39,7 +39,6 @@
  */
 public class IndependentSequenceModel<T extends Output<T>> extends SequenceModel<T> {
     private static final Logger logger = Logger.getLogger(IndependentSequenceModel.class.getName());
-    private static final long serialVersionUID = 1L;
 
     /**
      * Protobuf serialization version.
diff --git a/Core/src/main/java/org/tribuo/sequence/MinimumCardinalitySequenceDataset.java b/Core/src/main/java/org/tribuo/sequence/MinimumCardinalitySequenceDataset.java
index 16521fadd..cdf4f740c 100644
--- a/Core/src/main/java/org/tribuo/sequence/MinimumCardinalitySequenceDataset.java
+++ b/Core/src/main/java/org/tribuo/sequence/MinimumCardinalitySequenceDataset.java
@@ -63,7 +63,6 @@
  * @param <T> The type of the outputs in this {@link SequenceDataset}.
  */
 public class MinimumCardinalitySequenceDataset<T extends Output<T>> extends ImmutableSequenceDataset<T> {
-    private static final long serialVersionUID = 1L;
 
     private static final Logger logger = Logger.getLogger(MinimumCardinalitySequenceDataset.class.getName());
 
diff --git a/Core/src/main/java/org/tribuo/sequence/MutableSequenceDataset.java b/Core/src/main/java/org/tribuo/sequence/MutableSequenceDataset.java
index 43c460141..7b2e62623 100644
--- a/Core/src/main/java/org/tribuo/sequence/MutableSequenceDataset.java
+++ b/Core/src/main/java/org/tribuo/sequence/MutableSequenceDataset.java
@@ -44,7 +44,6 @@
  * Whenever an {@link SequenceExample} is added to the dataset.
  */
 public class MutableSequenceDataset<T extends Output<T>> extends SequenceDataset<T> {
-    private static final long serialVersionUID = 1L;
 
     /**
      * Protobuf serialization version.
diff --git a/Core/src/main/java/org/tribuo/sequence/SequenceDataset.java b/Core/src/main/java/org/tribuo/sequence/SequenceDataset.java
index b9fff3b2a..95872ab77 100644
--- a/Core/src/main/java/org/tribuo/sequence/SequenceDataset.java
+++ b/Core/src/main/java/org/tribuo/sequence/SequenceDataset.java
@@ -41,7 +41,6 @@
 import java.io.IOException;
 import java.io.InputStream;
 import java.io.OutputStream;
-import java.io.Serializable;
 import java.nio.file.Files;
 import java.nio.file.Path;
 import java.util.ArrayList;
@@ -58,9 +57,8 @@
  *
  * @param <T> the type of the outputs in the data set.
  */
-public abstract class SequenceDataset<T extends Output<T>> implements Iterable<SequenceExample<T>>, ProtoSerializable<SequenceDatasetProto>, Provenancable<DatasetProvenance>, Serializable {
+public abstract class SequenceDataset<T extends Output<T>> implements Iterable<SequenceExample<T>>, ProtoSerializable<SequenceDatasetProto>, Provenancable<DatasetProvenance> {
     private static final Logger logger = Logger.getLogger(SequenceDataset.class.getName());
-    private static final long serialVersionUID = 2L;
 
     /**
      * A factory for making {@link OutputInfo} and {@link Output} of the appropriate type.
diff --git a/Core/src/main/java/org/tribuo/sequence/SequenceExample.java b/Core/src/main/java/org/tribuo/sequence/SequenceExample.java
index dd3e5534a..7a3490126 100644
--- a/Core/src/main/java/org/tribuo/sequence/SequenceExample.java
+++ b/Core/src/main/java/org/tribuo/sequence/SequenceExample.java
@@ -35,7 +35,6 @@
 import org.tribuo.protos.core.SequenceExampleProto;
 import org.tribuo.util.Merger;
 
-import java.io.Serializable;
 import java.util.ArrayList;
 import java.util.Iterator;
 import java.util.List;
@@ -46,8 +45,7 @@
  * A sequence of examples, used for sequence classification.
  */
 @ProtoSerializableClass(serializedDataClass = SequenceExampleImplProto.class, version = SequenceExample.CURRENT_VERSION)
-public class SequenceExample<T extends Output<T>> implements Iterable<Example<T>>, ProtoSerializable<SequenceExampleProto>, Serializable {
-    private static final long serialVersionUID = 1L;
+public class SequenceExample<T extends Output<T>> implements Iterable<Example<T>>, ProtoSerializable<SequenceExampleProto> {
 
     private static final Logger logger = Logger.getLogger(SequenceExample.class.getName());
 
diff --git a/Core/src/main/java/org/tribuo/sequence/SequenceModel.java b/Core/src/main/java/org/tribuo/sequence/SequenceModel.java
index 99ecc0fbe..74c345789 100644
--- a/Core/src/main/java/org/tribuo/sequence/SequenceModel.java
+++ b/Core/src/main/java/org/tribuo/sequence/SequenceModel.java
@@ -33,7 +33,6 @@
 import java.io.IOException;
 import java.io.InputStream;
 import java.io.OutputStream;
-import java.io.Serializable;
 import java.nio.file.Files;
 import java.nio.file.Path;
 import java.util.ArrayList;
@@ -46,8 +45,7 @@
  * A prediction model, which is used to predict outputs for unseen instances.
  * @param <T> the type of the outputs used to train the model.
  */
-public abstract class SequenceModel<T extends Output<T>> implements ProtoSerializable<SequenceModelProto>, Provenancable<ModelProvenance>, Serializable {
-    private static final long serialVersionUID = 1L;
+public abstract class SequenceModel<T extends Output<T>> implements ProtoSerializable<SequenceModelProto>, Provenancable<ModelProvenance> {
 
     /**
      * The model name.
diff --git a/Core/src/main/java/org/tribuo/sequence/SequenceModelExplorer.java b/Core/src/main/java/org/tribuo/sequence/SequenceModelExplorer.java
index 69577137d..545c1bb29 100644
--- a/Core/src/main/java/org/tribuo/sequence/SequenceModelExplorer.java
+++ b/Core/src/main/java/org/tribuo/sequence/SequenceModelExplorer.java
@@ -87,32 +87,18 @@ public void startShell() {
      * Loads a model.
      * @param ci The shell instance.
      * @param path The path to load.
-     * @param protobuf Load in a protobuf format model.
      * @return A status string.
      */
     @Command(usage = "<filename> <is-protobuf-format> - Load a model from disk.", completers="fileCompleter")
-    public String loadModel(CommandInterpreter ci, File path, boolean protobuf) {
+    public String loadModel(CommandInterpreter ci, File path) {
         String output = "Failed to load model";
-        if (protobuf) {
-            try {
-                model = SequenceModel.deserializeFromFile(path.toPath());
-                output = "Loaded model from path " + path.getAbsolutePath();
-            } catch (IllegalStateException e) {
-                logger.log(Level.SEVERE, "Failed to deserialize protobuf when reading from file " + path.getAbsolutePath(), e);
-            } catch (IOException e) {
-                logger.log(Level.SEVERE, "IOException when reading from file " + path.getAbsolutePath(), e);
-            }
-        } else {
-            try (ObjectInputStream ois = new ObjectInputStream(new BufferedInputStream(new FileInputStream(path)))) {
-                model = (SequenceModel<?>) ois.readObject();
-                output = "Loaded model from path " + path.getAbsolutePath();
-            } catch (ClassNotFoundException e) {
-                logger.log(Level.SEVERE, "Failed to load class from stream " + path.getAbsolutePath(), e);
-            } catch (FileNotFoundException e) {
-                logger.log(Level.SEVERE, "Failed to open file " + path.getAbsolutePath(), e);
-            } catch (IOException e) {
-                logger.log(Level.SEVERE, "IOException when reading from file " + path.getAbsolutePath(), e);
-            }
+        try {
+            model = SequenceModel.deserializeFromFile(path.toPath());
+            output = "Loaded model from path " + path.getAbsolutePath();
+        } catch (IllegalStateException e) {
+            logger.log(Level.SEVERE, "Failed to deserialize protobuf when reading from file " + path.getAbsolutePath(), e);
+        } catch (IOException e) {
+            logger.log(Level.SEVERE, "IOException when reading from file " + path.getAbsolutePath(), e);
         }
 
         return output;
@@ -201,12 +187,6 @@ public static class SequenceModelExplorerOptions implements Options {
          */
         @Option(charName = 'f', longName = "filename", usage = "Model file to load. Optional.")
         public String modelFilename;
-
-        /**
-         * Load the model from a protobuf. Optional.
-         */
-        @Option(charName = 'p', longName = "protobuf-model", usage = "Load the model from a protobuf. Optional")
-        public boolean protobufFormat;
     }
 
     /**
@@ -218,7 +198,7 @@ public static void main(String[] args) {
         ConfigurationManager cm = new ConfigurationManager(args,options,false);
         SequenceModelExplorer driver = new SequenceModelExplorer();
         if (options.modelFilename != null) {
-            logger.log(Level.INFO,driver.loadModel(driver.shell, new File(options.modelFilename), options.protobufFormat));
+            logger.log(Level.INFO,driver.loadModel(driver.shell, new File(options.modelFilename)));
         }
         driver.startShell();
     }
diff --git a/Core/src/main/java/org/tribuo/transform/Transformer.java b/Core/src/main/java/org/tribuo/transform/Transformer.java
index 0352d1333..c46b4cd18 100644
--- a/Core/src/main/java/org/tribuo/transform/Transformer.java
+++ b/Core/src/main/java/org/tribuo/transform/Transformer.java
@@ -20,8 +20,6 @@
 import org.tribuo.protos.ProtoSerializable;
 import org.tribuo.protos.ProtoUtil;
 
-import java.io.Serializable;
-
 /**
  * A fitted {@link Transformation} which can apply
  * a transform to the input value. Usually contains
@@ -30,7 +28,7 @@
  * Transformers are serializable, and should only
  * be constructed by their {@link TransformStatistics}.
  */
-public interface Transformer extends ProtoSerializable<TransformerProto>, Serializable {
+public interface Transformer extends ProtoSerializable<TransformerProto> {
 
     /**
      * Applies the transformation to the supplied
diff --git a/Core/src/main/java/org/tribuo/transform/TransformerMap.java b/Core/src/main/java/org/tribuo/transform/TransformerMap.java
index 2e86fbd76..cf6de8e7b 100644
--- a/Core/src/main/java/org/tribuo/transform/TransformerMap.java
+++ b/Core/src/main/java/org/tribuo/transform/TransformerMap.java
@@ -36,7 +36,6 @@
 import org.tribuo.provenance.DatasetProvenance;
 import org.tribuo.transform.TransformerMap.TransformerMapProvenance;
 
-import java.io.Serializable;
 import java.util.ArrayList;
 import java.util.Collections;
 import java.util.Iterator;
@@ -59,12 +58,10 @@
  * See {@link org.tribuo.transform} for a more detailed discussion of densify.
  */
 public final class TransformerMap implements ProtoSerializable<TransformerMapProto>,
-        Provenancable<TransformerMapProvenance>, Serializable {
+        Provenancable<TransformerMapProvenance> {
 
     private static final Logger logger = Logger.getLogger(TransformerMap.class.getName());
     
-    private static final long serialVersionUID = 2L;
-
     /**
      * Protobuf serialization version.
      */
diff --git a/Core/src/main/java/org/tribuo/transform/transformations/SimpleTransform.java b/Core/src/main/java/org/tribuo/transform/transformations/SimpleTransform.java
index 0a47fe5c2..1fab11f3b 100644
--- a/Core/src/main/java/org/tribuo/transform/transformations/SimpleTransform.java
+++ b/Core/src/main/java/org/tribuo/transform/transformations/SimpleTransform.java
@@ -33,7 +33,6 @@
 import org.tribuo.transform.TransformationProvenance;
 import org.tribuo.transform.Transformer;
 
-import java.io.Serializable;
 import java.util.Collections;
 import java.util.HashMap;
 import java.util.Map;
@@ -118,7 +117,7 @@ public enum Operation {
     @Config(description="Second operand (if required).")
     private double secondOperand = Double.NaN;
 
-    private SerializableDoubleUnaryOperator operation;
+    private DoubleUnaryOperator operation;
 
     private transient TransformationProvenance provenance;
 
@@ -447,8 +446,4 @@ public static SimpleTransform threshold(double min, double max) {
         return new SimpleTransform(Operation.threshold,min,max);
     }
 
-    /**
-     * Tag interface to make the operators serializable.
-     */
-    interface SerializableDoubleUnaryOperator extends DoubleUnaryOperator, Serializable {}
 }
diff --git a/Core/src/main/java/org/tribuo/util/MeanVarianceAccumulator.java b/Core/src/main/java/org/tribuo/util/MeanVarianceAccumulator.java
index 504efe8d8..61afd65f8 100644
--- a/Core/src/main/java/org/tribuo/util/MeanVarianceAccumulator.java
+++ b/Core/src/main/java/org/tribuo/util/MeanVarianceAccumulator.java
@@ -15,7 +15,6 @@
  */
 package org.tribuo.util;
 
-import java.io.Serializable;
 import java.util.Objects;
 
 /**
@@ -24,7 +23,7 @@
  * <p>
  * Note this class is not thread safe.
  */
-public final class MeanVarianceAccumulator implements Serializable {
+public final class MeanVarianceAccumulator {
     private static final long serialVersionUID = 1L;
 
     private double max = Double.NEGATIVE_INFINITY;
diff --git a/Core/src/test/java/org/tribuo/test/Helpers.java b/Core/src/test/java/org/tribuo/test/Helpers.java
index 7f1548d2b..e5eae149f 100644
--- a/Core/src/test/java/org/tribuo/test/Helpers.java
+++ b/Core/src/test/java/org/tribuo/test/Helpers.java
@@ -208,6 +208,9 @@ public static <U extends Message, T extends ProtoSerializable<U>> T testProtoSer
         return deser;
     }
 
+    public static <T extends Output<T>> Model<T> testModelProtoSerialization(Model<T> model, Class<T> outputClazz) {
+        return testModelProtoSerialization(model, outputClazz, null, 1e-15);
+    }
 
     public static <T extends Output<T>> Model<T> testModelProtoSerialization(Model<T> model, Class<T> outputClazz, Iterable<Example<T>> data) {
         return testModelProtoSerialization(model, outputClazz, data, 1e-15);
@@ -229,14 +232,16 @@ public static <T extends Output<T>> Model<T> testModelProtoSerialization(Model<T
         assertTrue(deserializedModel.validate(outputClazz));
         Model<T> deserModel = deserializedModel.castModel(outputClazz);
 
-        // validate the predictions are the same
-        List<Prediction<T>> modelPreds = model.predict(data);
-        List<Prediction<T>> deserPreds = deserModel.predict(data);
-        assertEquals(modelPreds.size(),deserPreds.size());
-        for (int i = 0; i < modelPreds.size(); i++) {
-            Prediction<T> cur = modelPreds.get(i);
-            Prediction<T> other = deserPreds.get(i);
-            assertTrue(cur.distributionEquals(other, tolerance));
+        if (data != null) {
+            // validate the predictions are the same
+            List<Prediction<T>> modelPreds = model.predict(data);
+            List<Prediction<T>> deserPreds = deserModel.predict(data);
+            assertEquals(modelPreds.size(), deserPreds.size());
+            for (int i = 0; i < modelPreds.size(); i++) {
+                Prediction<T> cur = modelPreds.get(i);
+                Prediction<T> other = deserPreds.get(i);
+                assertTrue(cur.distributionEquals(other, tolerance));
+            }
         }
 
         return deserModel;
@@ -276,83 +281,6 @@ public static <T extends Output<T>> SequenceModel<T> testSequenceModelProtoSeria
         return deserModel;
     }
 
-    public static <T extends Output<T>> void testModelSerialization(Model<T> model, Class<T> outputClazz) {
-        // test provenance marshalling
-        testProvenanceMarshalling(model.getProvenance());
-
-        // write to byte array
-        ByteArrayOutputStream baos = new ByteArrayOutputStream();
-        try (ObjectOutputStream oos = new ObjectOutputStream(new BufferedOutputStream(baos))) {
-            oos.writeObject(model);
-        } catch (IOException ex) {
-            logger.severe("IOException when writing out model");
-            Assertions.fail("Failed to serialize model class " + model.getClass().toString(), ex);
-        }
-
-        // Extract the byte array
-        byte[] modelSer = baos.toByteArray();
-
-        // read model from byte array
-        try (ObjectInputStream ois = new ObjectInputStream(new BufferedInputStream(new ByteArrayInputStream(modelSer)))) {
-            Model<?> deserializedModel = (Model<?>) ois.readObject();
-            // check provenance is equal
-            assertEquals(model.getProvenance(), deserializedModel.getProvenance());
-            // validate that the model is still of the right type
-            assertTrue(deserializedModel.validate(outputClazz));
-            if (deserializedModel instanceof AutoCloseable) {
-                try {
-                    ((AutoCloseable) deserializedModel).close();
-                } catch (Exception ex) {
-                    logger.severe("Exception thrown when closing model");
-                    Assertions.fail("Failed to close deserialized model " + model.getClass().toString(),ex);
-                }
-            }
-        } catch (IOException ex) {
-            logger.severe("IOException when reading in model");
-            Assertions.fail("Failed to deserialize model class " + model.getClass().toString(), ex);
-        } catch (ClassNotFoundException ex) {
-            logger.severe("ClassNotFoundException when reading in model");
-            Assertions.fail("Failed to deserialize model class " + model.getClass().toString(), ex);
-        }
-    }
-
-    public static <T extends Output<T>> void testSequenceModelSerialization(SequenceModel<T> model, Class<T> outputClazz) {
-        // write to byte array
-        ByteArrayOutputStream baos = new ByteArrayOutputStream();
-        try (ObjectOutputStream oos = new ObjectOutputStream(new BufferedOutputStream(baos))) {
-            oos.writeObject(model);
-        } catch (IOException ex) {
-            logger.severe("IOException when writing out model");
-            Assertions.fail("Failed to serialize sequence model class " + model.getClass().toString(), ex);
-        }
-
-        // Extract the byte array
-        byte[] modelSer = baos.toByteArray();
-
-        // read model from byte array
-        try (ObjectInputStream ois = new ObjectInputStream(new BufferedInputStream(new ByteArrayInputStream(modelSer)))) {
-            SequenceModel<?> deserializedModel = (SequenceModel<?>) ois.readObject();
-            // check provenance is equal
-            assertEquals(model.getProvenance(), deserializedModel.getProvenance());
-            // validate that the model is still of the right type
-            assertTrue(deserializedModel.validate(outputClazz));
-            if (deserializedModel instanceof AutoCloseable) {
-                try {
-                    ((AutoCloseable) deserializedModel).close();
-                } catch (Exception ex) {
-                    logger.severe("Exception thrown when closing model");
-                    Assertions.fail("Failed to close deserialized model " + model.getClass().toString(),ex);
-                }
-            }
-        } catch (IOException ex) {
-            logger.severe("IOException when reading in model");
-            Assertions.fail("Failed to deserialize sequence model class " + model.getClass().toString(), ex);
-        } catch (ClassNotFoundException ex) {
-            logger.severe("ClassNotFoundException when reading in model");
-            Assertions.fail("Failed to deserialize sequence model class " + model.getClass().toString(), ex);
-        }
-    }
-
     /**
      * Compares two top feature lists according to the specified tolerances returning true when the lists have the
      * same elements and the difference between the scores is within the tolerance.
diff --git a/Interop/OCI/src/main/java/org/tribuo/interop/oci/OCIOutputConverter.java b/Interop/OCI/src/main/java/org/tribuo/interop/oci/OCIOutputConverter.java
index 81ce3ff4f..38ea5342f 100644
--- a/Interop/OCI/src/main/java/org/tribuo/interop/oci/OCIOutputConverter.java
+++ b/Interop/OCI/src/main/java/org/tribuo/interop/oci/OCIOutputConverter.java
@@ -28,14 +28,13 @@
 import org.tribuo.math.la.DenseVector;
 import org.tribuo.protos.ProtoSerializable;
 
-import java.io.Serializable;
 import java.util.List;
 
 /**
  * Converter for a {@link DenseMatrix} received from OCI Data Science Model Deployment.
  * @param <T> The output type.
  */
-public interface OCIOutputConverter<T extends Output<T>> extends Configurable, ProtoSerializable<OCIOutputConverterProto>, Provenancable<ConfiguredObjectProvenance>,  Serializable {
+public interface OCIOutputConverter<T extends Output<T>> extends Configurable, ProtoSerializable<OCIOutputConverterProto>, Provenancable<ConfiguredObjectProvenance> {
 
     /**
      * Converts a dense vector into a single prediction of the appropriate type.
diff --git a/Interop/ONNX/src/main/java/org/tribuo/interop/onnx/ExampleTransformer.java b/Interop/ONNX/src/main/java/org/tribuo/interop/onnx/ExampleTransformer.java
index ae6a3c8a5..fddbe1823 100644
--- a/Interop/ONNX/src/main/java/org/tribuo/interop/onnx/ExampleTransformer.java
+++ b/Interop/ONNX/src/main/java/org/tribuo/interop/onnx/ExampleTransformer.java
@@ -26,7 +26,6 @@
 import org.tribuo.math.la.SparseVector;
 import org.tribuo.protos.ProtoSerializable;
 
-import java.io.Serializable;
 import java.util.List;
 
 /**
@@ -36,7 +35,7 @@
  * <p>
  * N.B. ONNX support is experimental, and may change without a major version bump.
  */
-public interface ExampleTransformer extends Configurable, ProtoSerializable<ExampleTransformerProto>, Provenancable<ConfiguredObjectProvenance>, Serializable {
+public interface ExampleTransformer extends Configurable, ProtoSerializable<ExampleTransformerProto>, Provenancable<ConfiguredObjectProvenance> {
 
     /**
      * Converts a {@link SparseVector} representing the features into a {@link OnnxTensor}.
diff --git a/Interop/ONNX/src/main/java/org/tribuo/interop/onnx/OutputTransformer.java b/Interop/ONNX/src/main/java/org/tribuo/interop/onnx/OutputTransformer.java
index d4bf1fea7..18f6a91a8 100644
--- a/Interop/ONNX/src/main/java/org/tribuo/interop/onnx/OutputTransformer.java
+++ b/Interop/ONNX/src/main/java/org/tribuo/interop/onnx/OutputTransformer.java
@@ -27,7 +27,6 @@
 import org.tribuo.interop.onnx.protos.OutputTransformerProto;
 import org.tribuo.protos.ProtoSerializable;
 
-import java.io.Serializable;
 import java.util.List;
 
 /**
@@ -35,7 +34,7 @@
  * <p>
  * N.B. ONNX support is experimental, and may change without a major version bump.
  */
-public interface OutputTransformer<T extends Output<T>> extends Configurable, ProtoSerializable<OutputTransformerProto>, Provenancable<ConfiguredObjectProvenance>, Serializable {
+public interface OutputTransformer<T extends Output<T>> extends Configurable, ProtoSerializable<OutputTransformerProto>, Provenancable<ConfiguredObjectProvenance> {
 
     /**
      * Converts a {@link OnnxValue} into a {@link Prediction}.
diff --git a/Interop/ONNX/src/test/java/org/tribuo/interop/onnx/TestOnnxRuntime.java b/Interop/ONNX/src/test/java/org/tribuo/interop/onnx/TestOnnxRuntime.java
index 55e9261f5..1269331ad 100644
--- a/Interop/ONNX/src/test/java/org/tribuo/interop/onnx/TestOnnxRuntime.java
+++ b/Interop/ONNX/src/test/java/org/tribuo/interop/onnx/TestOnnxRuntime.java
@@ -134,8 +134,6 @@ public void testMNIST() throws IOException, OrtException, URISyntaxException {
             assertEquals(0.967741, evaluation.accuracy(), 1e-6);
             assertEquals(0.024285, evaluation.balancedErrorRate(), 1e-6);
 
-            Helpers.testModelSerialization(transposedMNISTLR,Label.class);
-
             Helpers.testModelProtoSerialization(transposedMNISTLR, Label.class, new MutableDataset<>(transposedMNIST), 1e-6);
         }
     }
diff --git a/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/FeatureConverter.java b/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/FeatureConverter.java
index 960eb000d..9af96355b 100644
--- a/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/FeatureConverter.java
+++ b/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/FeatureConverter.java
@@ -25,7 +25,6 @@
 import org.tribuo.math.la.SGDVector;
 import org.tribuo.protos.ProtoSerializable;
 
-import java.io.Serializable;
 import java.util.List;
 import java.util.Set;
 
@@ -36,7 +35,7 @@
  * <p>
  * N.B. TensorFlow support is experimental and may change without a major version bump.
  */
-public interface FeatureConverter extends Configurable, ProtoSerializable<FeatureConverterProto>, Provenancable<ConfiguredObjectProvenance>, Serializable {
+public interface FeatureConverter extends Configurable, ProtoSerializable<FeatureConverterProto>, Provenancable<ConfiguredObjectProvenance> {
 
     /**
      * Converts an {@link Example} into a {@link TensorMap} suitable for supplying as an input to a graph.
diff --git a/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/OutputConverter.java b/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/OutputConverter.java
index 4e79f8b68..6529b3e66 100644
--- a/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/OutputConverter.java
+++ b/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/OutputConverter.java
@@ -33,7 +33,6 @@
 import org.tribuo.interop.tensorflow.protos.OutputConverterProto;
 import org.tribuo.protos.ProtoSerializable;
 
-import java.io.Serializable;
 import java.util.List;
 import java.util.function.BiFunction;
 
@@ -48,7 +47,7 @@
  * N.B. TensorFlow support is experimental and may change without a major version bump.
  * @param <T> The output type.
  */
-public interface OutputConverter<T extends Output<T>> extends Configurable, ProtoSerializable<OutputConverterProto>, Provenancable<ConfiguredObjectProvenance>, Serializable {
+public interface OutputConverter<T extends Output<T>> extends Configurable, ProtoSerializable<OutputConverterProto>, Provenancable<ConfiguredObjectProvenance> {
 
     /**
      * The loss function associated with this prediction type.
diff --git a/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/TensorFlowUtil.java b/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/TensorFlowUtil.java
index b66cb77b2..f08f7d3f3 100644
--- a/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/TensorFlowUtil.java
+++ b/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/TensorFlowUtil.java
@@ -31,7 +31,6 @@
 import org.tribuo.interop.tensorflow.protos.TensorTupleProto;
 import org.tribuo.util.Util;
 
-import java.io.Serializable;
 import java.util.ArrayList;
 import java.util.Arrays;
 import java.util.Collection;
@@ -205,8 +204,7 @@ public static void restoreMarshalledVariables(Session session, Map<String, Tenso
      * <p>
      * It's almost a record.
      */
-    public static final class TensorTuple implements Serializable {
-        private static final long serialVersionUID = 1L;
+    public static final class TensorTuple {
 
         /**
          * The tensor class name.
diff --git a/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/sequence/SequenceFeatureConverter.java b/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/sequence/SequenceFeatureConverter.java
index e4b43d2f4..f72b7ae52 100644
--- a/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/sequence/SequenceFeatureConverter.java
+++ b/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/sequence/SequenceFeatureConverter.java
@@ -25,7 +25,6 @@
 import org.tribuo.protos.ProtoSerializable;
 import org.tribuo.sequence.SequenceExample;
 
-import java.io.Serializable;
 import java.util.List;
 import java.util.Set;
 
@@ -34,7 +33,7 @@
  * <p>
  * N.B. TensorFlow support is experimental and may change without a major version bump.
  */
-public interface SequenceFeatureConverter extends Configurable, ProtoSerializable<SequenceFeatureConverterProto>, Provenancable<ConfiguredObjectProvenance>, Serializable {
+public interface SequenceFeatureConverter extends Configurable, ProtoSerializable<SequenceFeatureConverterProto>, Provenancable<ConfiguredObjectProvenance> {
 
     /**
      * Encodes an example as a feed dict.
diff --git a/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/sequence/SequenceOutputConverter.java b/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/sequence/SequenceOutputConverter.java
index cfa434995..58ae19f90 100644
--- a/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/sequence/SequenceOutputConverter.java
+++ b/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/sequence/SequenceOutputConverter.java
@@ -28,7 +28,6 @@
 import org.tribuo.sequence.SequenceExample;
 import org.tensorflow.Tensor;
 
-import java.io.Serializable;
 import java.util.List;
 
 /**
@@ -37,7 +36,7 @@
  * <p>
  * N.B. TensorFlow support is experimental and may change without a major version bump.
  */
-public interface SequenceOutputConverter<T extends Output<T>> extends Configurable, ProtoSerializable<SequenceOutputConverterProto>, Provenancable<ConfiguredObjectProvenance>, Serializable {
+public interface SequenceOutputConverter<T extends Output<T>> extends Configurable, ProtoSerializable<SequenceOutputConverterProto>, Provenancable<ConfiguredObjectProvenance> {
 
     /**
      * Decode a tensor of graph output into a list of predictions for the input sequence.
diff --git a/Interop/Tensorflow/src/test/java/org/tribuo/interop/tensorflow/ClassificationTest.java b/Interop/Tensorflow/src/test/java/org/tribuo/interop/tensorflow/ClassificationTest.java
index 10df4c0e2..b2f90f09b 100644
--- a/Interop/Tensorflow/src/test/java/org/tribuo/interop/tensorflow/ClassificationTest.java
+++ b/Interop/Tensorflow/src/test/java/org/tribuo/interop/tensorflow/ClassificationTest.java
@@ -194,7 +194,7 @@ private static TensorFlowModel<Label> testTrainer(TensorFlowTrainer<Label> train
         Assertions.assertTrue(eval.averageAUCROC(false) > 0.0);
 
         // Check Tribuo serialization
-        Helpers.testModelSerialization(model, Label.class);
+        Helpers.testModelProtoSerialization(model, Label.class);
 
         // Check saved model bundle export
         Path outputPath = Files.createTempDirectory("tf-classification-test");
@@ -354,7 +354,7 @@ public void classificationCNNTest() throws IOException {
         Assertions.assertTrue(eval.accuracy() > 0.0);
 
         // Check Tribuo serialization
-        Helpers.testModelSerialization(model,Label.class);
+        Helpers.testModelProtoSerialization(model,Label.class);
 
         // Check saved model bundle export
         Path outputPath = Files.createTempDirectory("tf-classification-cnn-test");
diff --git a/Interop/Tensorflow/src/test/java/org/tribuo/interop/tensorflow/RegressionTest.java b/Interop/Tensorflow/src/test/java/org/tribuo/interop/tensorflow/RegressionTest.java
index c30c2655d..9394d9fc1 100644
--- a/Interop/Tensorflow/src/test/java/org/tribuo/interop/tensorflow/RegressionTest.java
+++ b/Interop/Tensorflow/src/test/java/org/tribuo/interop/tensorflow/RegressionTest.java
@@ -87,7 +87,6 @@ public void regressionMLPTest() throws IOException {
         Assertions.assertFalse(eval.r2().isEmpty());
 
         // Check Tribuo serialization
-        Helpers.testModelSerialization(model,Regressor.class);
         Helpers.testModelProtoSerialization(model, Regressor.class, testData);
 
         // Check saved model bundle export
diff --git a/Json/src/main/java/org/tribuo/json/StripProvenance.java b/Json/src/main/java/org/tribuo/json/StripProvenance.java
index fd6650e3c..6d45855d7 100644
--- a/Json/src/main/java/org/tribuo/json/StripProvenance.java
+++ b/Json/src/main/java/org/tribuo/json/StripProvenance.java
@@ -221,22 +221,20 @@ private static <T extends Output<T>> ModelTuple<T> convertModel(Model<T> oldMode
             EnsembleModelProvenance cleanedProvenance = cleanEnsembleProvenance(oldProvenance, listProv, provenanceHash, opt);
             Class<? extends Model> clazz = oldModel.getClass();
             Method copyMethod = clazz.getDeclaredMethod("copy", String.class, ModelProvenance.class, List.class);
-            boolean accessible = copyMethod.isAccessible();
             copyMethod.setAccessible(true);
             String newName = oldModel.getName().isEmpty() ? "deprovenanced" : oldModel.getName() + "-deprovenanced";
             EnsembleModel<T> output = (EnsembleModel<T>) copyMethod.invoke(oldModel, newName, cleanedProvenance, newModels);
-            copyMethod.setAccessible(accessible);
+            copyMethod.setAccessible(false);
             return new ModelTuple<>(output, cleanedProvenance);
         } else {
             ModelProvenance oldProvenance = oldModel.getProvenance();
             ModelProvenance cleanedProvenance = cleanProvenance(oldProvenance, provenanceHash, opt);
             Class<? extends Model> clazz = oldModel.getClass();
             Method copyMethod = clazz.getDeclaredMethod("copy", String.class, ModelProvenance.class);
-            boolean accessible = copyMethod.isAccessible();
             copyMethod.setAccessible(true);
             String newName = oldModel.getName().isEmpty() ? "deprovenanced" : oldModel.getName() + "-deprovenanced";
             Model<T> output = (Model<T>) copyMethod.invoke(oldModel, newName, cleanedProvenance);
-            copyMethod.setAccessible(accessible);
+            copyMethod.setAccessible(false);
             return new ModelTuple<>(output, cleanedProvenance);
         }
     }
diff --git a/Math/src/main/java/org/tribuo/math/Parameters.java b/Math/src/main/java/org/tribuo/math/Parameters.java
index b67a38f23..a2b6aa21a 100644
--- a/Math/src/main/java/org/tribuo/math/Parameters.java
+++ b/Math/src/main/java/org/tribuo/math/Parameters.java
@@ -21,8 +21,6 @@
 import org.tribuo.protos.ProtoSerializable;
 import org.tribuo.protos.ProtoUtil;
 
-import java.io.Serializable;
-
 /**
  * An interface to a {@link Tensor}[] array which accepts updates to the parameters.
  * <p>
@@ -33,7 +31,7 @@
  * <p>
  * Implementations must be serializable.
  */
-public interface Parameters extends ProtoSerializable<ParametersProto>, Serializable {
+public interface Parameters extends ProtoSerializable<ParametersProto> {
 
     /**
      * Generates an empty copy of the underlying {@link Tensor} array.
diff --git a/Math/src/main/java/org/tribuo/math/distance/Distance.java b/Math/src/main/java/org/tribuo/math/distance/Distance.java
index 2bad5a1d7..9bd04e958 100644
--- a/Math/src/main/java/org/tribuo/math/distance/Distance.java
+++ b/Math/src/main/java/org/tribuo/math/distance/Distance.java
@@ -23,14 +23,12 @@
 import org.tribuo.math.protos.DistanceProto;
 import org.tribuo.protos.ProtoSerializable;
 
-import java.io.Serializable;
-
 /**
  * Interface for distance functions.
  * <p>
  * Must be valid distance functions which are positive, symmetric, and obey the triangle inequality.
  */
-public interface Distance extends Configurable, ProtoSerializable<DistanceProto>, Provenancable<ConfiguredObjectProvenance>, Serializable {
+public interface Distance extends Configurable, ProtoSerializable<DistanceProto>, Provenancable<ConfiguredObjectProvenance> {
 
     /**
      * Computes the distance between the two vectors.
diff --git a/Math/src/main/java/org/tribuo/math/kernel/Kernel.java b/Math/src/main/java/org/tribuo/math/kernel/Kernel.java
index b9a1ad776..09c9b94cc 100644
--- a/Math/src/main/java/org/tribuo/math/kernel/Kernel.java
+++ b/Math/src/main/java/org/tribuo/math/kernel/Kernel.java
@@ -24,14 +24,12 @@
 import org.tribuo.protos.ProtoSerializable;
 import org.tribuo.protos.ProtoUtil;
 
-import java.io.Serializable;
-
 /**
  * An interface for a Mercer kernel function.
  * <p>
  * It's preferable for kernels to override toString.
  */
-public interface Kernel extends Configurable, ProtoSerializable<KernelProto>, Provenancable<ConfiguredObjectProvenance>, Serializable {
+public interface Kernel extends Configurable, ProtoSerializable<KernelProto>, Provenancable<ConfiguredObjectProvenance> {
 
     /**
      * Calculates the similarity between two {@link SparseVector}s.
diff --git a/Math/src/main/java/org/tribuo/math/la/Tensor.java b/Math/src/main/java/org/tribuo/math/la/Tensor.java
index cffcca263..4fab8a2de 100644
--- a/Math/src/main/java/org/tribuo/math/la/Tensor.java
+++ b/Math/src/main/java/org/tribuo/math/la/Tensor.java
@@ -20,14 +20,13 @@
 import org.tribuo.protos.ProtoSerializable;
 import org.tribuo.protos.ProtoUtil;
 
-import java.io.Serializable;
 import java.util.Arrays;
 import java.util.function.DoubleUnaryOperator;
 
 /**
  * An interface for Tensors, currently Vectors and Matrices.
  */
-public interface Tensor extends ProtoSerializable<TensorProto>, Serializable {
+public interface Tensor extends ProtoSerializable<TensorProto> {
 
     /**
      * The number of elements in this shape, i.e., the product of the shape array.
diff --git a/Math/src/main/java/org/tribuo/math/neighbour/NeighboursQueryFactory.java b/Math/src/main/java/org/tribuo/math/neighbour/NeighboursQueryFactory.java
index 01d549a08..6424d2d18 100644
--- a/Math/src/main/java/org/tribuo/math/neighbour/NeighboursQueryFactory.java
+++ b/Math/src/main/java/org/tribuo/math/neighbour/NeighboursQueryFactory.java
@@ -26,12 +26,10 @@
 import org.tribuo.protos.ProtoSerializable;
 import org.tribuo.protos.ProtoUtil;
 
-import java.io.Serializable;
-
 /**
  * An interface for factories which create nearest neighbour query objects.
  */
-public interface NeighboursQueryFactory extends Configurable, ProtoSerializable<NeighbourFactoryProto>, Provenancable<ConfiguredObjectProvenance>, Serializable {
+public interface NeighboursQueryFactory extends Configurable, ProtoSerializable<NeighbourFactoryProto>, Provenancable<ConfiguredObjectProvenance> {
 
     /**
      * Constructs a nearest neighbour query object using the supplied array of {@link SGDVector}.
diff --git a/Math/src/main/java/org/tribuo/math/util/ExpNormalizer.java b/Math/src/main/java/org/tribuo/math/util/ExpNormalizer.java
index d44d92965..771928427 100644
--- a/Math/src/main/java/org/tribuo/math/util/ExpNormalizer.java
+++ b/Math/src/main/java/org/tribuo/math/util/ExpNormalizer.java
@@ -22,7 +22,6 @@
 import org.tribuo.util.onnx.ONNXNode;
 import org.tribuo.util.onnx.ONNXOperators;
 
-import java.io.Serializable;
 import java.util.Arrays;
 import java.util.Collections;
 
@@ -31,8 +30,7 @@
  * <p>
  * a.k.a. SoftMax.
  */
-public class ExpNormalizer implements VectorNormalizer, Serializable {
-    private static final long serialVersionUID = 1L;
+public class ExpNormalizer implements VectorNormalizer {
 
     /**
      * Protobuf serialization version.
diff --git a/Math/src/main/java/org/tribuo/math/util/Merger.java b/Math/src/main/java/org/tribuo/math/util/Merger.java
index ea87d31ec..ca3775eab 100644
--- a/Math/src/main/java/org/tribuo/math/util/Merger.java
+++ b/Math/src/main/java/org/tribuo/math/util/Merger.java
@@ -21,8 +21,6 @@
 import org.tribuo.math.protos.MergerProto;
 import org.tribuo.protos.ProtoSerializable;
 
-import java.io.Serializable;
-
 /**
  * An interface for merging an array of {@link DenseSparseMatrix} into a single {@link DenseSparseMatrix}.
  * <p>
@@ -30,7 +28,7 @@
  * <p>
  * Merging is done by summation.
  */
-public interface Merger extends ProtoSerializable<MergerProto>, Serializable {
+public interface Merger extends ProtoSerializable<MergerProto> {
 
     /**
      * Merges an array of DenseSparseMatrix into a single DenseSparseMatrix.
diff --git a/Math/src/main/java/org/tribuo/math/util/NoopNormalizer.java b/Math/src/main/java/org/tribuo/math/util/NoopNormalizer.java
index 9172901ba..aa5ad5627 100644
--- a/Math/src/main/java/org/tribuo/math/util/NoopNormalizer.java
+++ b/Math/src/main/java/org/tribuo/math/util/NoopNormalizer.java
@@ -21,14 +21,12 @@
 import org.tribuo.math.protos.NormalizerProto;
 import org.tribuo.util.onnx.ONNXNode;
 
-import java.io.Serializable;
 import java.util.Arrays;
 
 /**
  * NoopNormalizer returns a copy in {@link NoopNormalizer#normalize} and is a no-op in place.
  */
-public class NoopNormalizer implements VectorNormalizer, Serializable {
-    private static final long serialVersionUID = 1L;
+public class NoopNormalizer implements VectorNormalizer {
 
     /**
      * Protobuf serialization version.
diff --git a/Math/src/main/java/org/tribuo/math/util/Normalizer.java b/Math/src/main/java/org/tribuo/math/util/Normalizer.java
index d1ba2cd05..32b955983 100644
--- a/Math/src/main/java/org/tribuo/math/util/Normalizer.java
+++ b/Math/src/main/java/org/tribuo/math/util/Normalizer.java
@@ -24,14 +24,13 @@
 import org.tribuo.util.onnx.ONNXNode;
 import org.tribuo.util.onnx.ONNXOperators;
 
-import java.io.Serializable;
 import java.util.Arrays;
 import java.util.Collections;
 
 /**
  * Normalizes, but first subtracts the minimum value (to ensure positivity).
  */
-public class Normalizer implements VectorNormalizer, Serializable {
+public class Normalizer implements VectorNormalizer {
     private static final long serialVersionUID = 1L;
 
     /**
diff --git a/Math/src/main/java/org/tribuo/math/util/SigmoidNormalizer.java b/Math/src/main/java/org/tribuo/math/util/SigmoidNormalizer.java
index 5fddeb53c..aac3bffd8 100644
--- a/Math/src/main/java/org/tribuo/math/util/SigmoidNormalizer.java
+++ b/Math/src/main/java/org/tribuo/math/util/SigmoidNormalizer.java
@@ -22,15 +22,13 @@
 import org.tribuo.util.onnx.ONNXNode;
 import org.tribuo.util.onnx.ONNXOperators;
 
-import java.io.Serializable;
 import java.util.Arrays;
 
 /**
  * Normalizes the input by applying a logistic sigmoid to each element.
  * Used when the input is independent dimensions of log space.
  */
-public class SigmoidNormalizer implements VectorNormalizer, Serializable {
-    private static final long serialVersionUID = 1L;
+public class SigmoidNormalizer implements VectorNormalizer {
 
     /**
      * Protobuf serialization version.
diff --git a/Math/src/main/java/org/tribuo/math/util/VectorNormalizer.java b/Math/src/main/java/org/tribuo/math/util/VectorNormalizer.java
index 456b8d7fe..c6ca4c6bc 100644
--- a/Math/src/main/java/org/tribuo/math/util/VectorNormalizer.java
+++ b/Math/src/main/java/org/tribuo/math/util/VectorNormalizer.java
@@ -22,13 +22,12 @@
 import org.tribuo.util.onnx.ONNXContext;
 import org.tribuo.util.onnx.ONNXNode;
 
-import java.io.Serializable;
 import java.util.logging.Logger;
 
 /**
  * A functional interface that generates a normalized version of a double array.
  */
-public interface VectorNormalizer extends ProtoSerializable<NormalizerProto>, Serializable {
+public interface VectorNormalizer extends ProtoSerializable<NormalizerProto> {
 
     /**
      * Normalizes the input array in some fashion specified by the class.
diff --git a/MultiLabel/Core/src/test/java/org/tribuo/multilabel/baseline/ClassifierChainTest.java b/MultiLabel/Core/src/test/java/org/tribuo/multilabel/baseline/ClassifierChainTest.java
index 1c0bede0f..e1ce28da9 100644
--- a/MultiLabel/Core/src/test/java/org/tribuo/multilabel/baseline/ClassifierChainTest.java
+++ b/MultiLabel/Core/src/test/java/org/tribuo/multilabel/baseline/ClassifierChainTest.java
@@ -102,7 +102,7 @@ public void testValidChain() {
         assertEquals(trueLabel, first.getOutput(), "Predicted labels not equal");
         assertEquals(3,model.getLabelOrder().size());
 
-        Helpers.testModelSerialization(model,MultiLabel.class);
+        Helpers.testModelProtoSerialization(model,MultiLabel.class);
 
         // Test ordered chain
         List<String> labelOrder = Arrays.asList("PUZZLE","MONKEY","TREE");
@@ -117,7 +117,6 @@ public void testValidChain() {
         assertEquals(labelOrder.get(2),model.getLabelOrder().get(2).getLabel());
         assertEquals(3,model.getLabelOrder().size());
 
-        Helpers.testModelSerialization(model,MultiLabel.class);
         Helpers.testModelProtoSerialization(model, MultiLabel.class, test);
     }
 
diff --git a/MultiLabel/Core/src/test/java/org/tribuo/multilabel/baseline/IndependentMultiLabelTest.java b/MultiLabel/Core/src/test/java/org/tribuo/multilabel/baseline/IndependentMultiLabelTest.java
index ca73ad9a4..de96326cd 100644
--- a/MultiLabel/Core/src/test/java/org/tribuo/multilabel/baseline/IndependentMultiLabelTest.java
+++ b/MultiLabel/Core/src/test/java/org/tribuo/multilabel/baseline/IndependentMultiLabelTest.java
@@ -62,7 +62,6 @@ public void testIndependentBinaryPredictions() {
         Assertions.assertNotNull(features);
         Assertions.assertFalse(features.isEmpty());
 
-        Helpers.testModelSerialization(model,MultiLabel.class);
         Helpers.testModelProtoSerialization(model, MultiLabel.class, test);
     }
 
diff --git a/MultiLabel/Core/src/test/java/org/tribuo/multilabel/ensemble/CCEnsembleTest.java b/MultiLabel/Core/src/test/java/org/tribuo/multilabel/ensemble/CCEnsembleTest.java
index 3436ef834..d092ea78c 100644
--- a/MultiLabel/Core/src/test/java/org/tribuo/multilabel/ensemble/CCEnsembleTest.java
+++ b/MultiLabel/Core/src/test/java/org/tribuo/multilabel/ensemble/CCEnsembleTest.java
@@ -74,7 +74,7 @@ public void testValidChain() {
         MultiLabel trueLabel = factory.generateOutput("MONKEY,PUZZLE,TREE");
         assertEquals(trueLabel, first.getOutput(), "Predicted labels not equal");
 
-        Helpers.testModelSerialization(model,MultiLabel.class);
+        Helpers.testModelProtoSerialization(model,MultiLabel.class);
     }
 
 }
diff --git a/MultiLabel/SGD/src/test/java/org/tribuo/multilabel/sgd/fm/TestFMMultiLabel.java b/MultiLabel/SGD/src/test/java/org/tribuo/multilabel/sgd/fm/TestFMMultiLabel.java
index db9e47099..3e3ca15cd 100644
--- a/MultiLabel/SGD/src/test/java/org/tribuo/multilabel/sgd/fm/TestFMMultiLabel.java
+++ b/MultiLabel/SGD/src/test/java/org/tribuo/multilabel/sgd/fm/TestFMMultiLabel.java
@@ -89,7 +89,6 @@ private static void testTrainer(Dataset<MultiLabel> train, Dataset<MultiLabel> t
 
         Assertions.assertEquals(1.0, evaluation.microAveragedRecall());
 
-        Helpers.testModelSerialization(model, MultiLabel.class);
         Helpers.testModelProtoSerialization(model, MultiLabel.class, test);
     }
 
diff --git a/MultiLabel/SGD/src/test/java/org/tribuo/multilabel/sgd/linear/TestSGDLinear.java b/MultiLabel/SGD/src/test/java/org/tribuo/multilabel/sgd/linear/TestSGDLinear.java
index d6fea9b47..f50d30398 100644
--- a/MultiLabel/SGD/src/test/java/org/tribuo/multilabel/sgd/linear/TestSGDLinear.java
+++ b/MultiLabel/SGD/src/test/java/org/tribuo/multilabel/sgd/linear/TestSGDLinear.java
@@ -90,7 +90,6 @@ private static void testTrainer(Dataset<MultiLabel> train, Dataset<MultiLabel> t
 
         Assertions.assertEquals(1.0, evaluation.microAveragedRecall());
 
-        Helpers.testModelSerialization(model, MultiLabel.class);
         Helpers.testModelProtoSerialization(model, MultiLabel.class, test);
     }
 
diff --git a/Regression/Core/src/test/java/org/tribuo/regression/baseline/TestDummyRegression.java b/Regression/Core/src/test/java/org/tribuo/regression/baseline/TestDummyRegression.java
index 11e292b09..8eaf222a2 100644
--- a/Regression/Core/src/test/java/org/tribuo/regression/baseline/TestDummyRegression.java
+++ b/Regression/Core/src/test/java/org/tribuo/regression/baseline/TestDummyRegression.java
@@ -61,7 +61,6 @@ public void testDummyRegression(Pair<Dataset<Regressor>,Dataset<Regressor>> p, b
             RegressionEvaluator evaluator = new RegressionEvaluator();
             RegressionEvaluation evaluation = evaluator.evaluate(m,p.getB());
             if (testModelSave) {
-                Helpers.testModelSerialization(m,Regressor.class);
                 Helpers.testModelProtoSerialization(m, Regressor.class, p.getB());
             }
         }
diff --git a/Regression/Core/src/test/java/org/tribuo/regression/ensemble/AveragingCombinerTest.java b/Regression/Core/src/test/java/org/tribuo/regression/ensemble/AveragingCombinerTest.java
index 918b33f34..8f8ba2b18 100644
--- a/Regression/Core/src/test/java/org/tribuo/regression/ensemble/AveragingCombinerTest.java
+++ b/Regression/Core/src/test/java/org/tribuo/regression/ensemble/AveragingCombinerTest.java
@@ -115,7 +115,7 @@ public void averagingCombinerTest() {
         assertArrayEquals(prediction.getOutput().getValues(),target.getValues());
         modelList.clear();
 
-        Helpers.testModelSerialization(ensemble,Regressor.class);
+        Helpers.testModelProtoSerialization(ensemble,Regressor.class);
     }
 
     @Test
diff --git a/Regression/LibLinear/src/main/java/org/tribuo/regression/liblinear/LinearRegressionType.java b/Regression/LibLinear/src/main/java/org/tribuo/regression/liblinear/LinearRegressionType.java
index 5417e91e8..3d3672a57 100644
--- a/Regression/LibLinear/src/main/java/org/tribuo/regression/liblinear/LinearRegressionType.java
+++ b/Regression/LibLinear/src/main/java/org/tribuo/regression/liblinear/LinearRegressionType.java
@@ -23,20 +23,17 @@
 import org.tribuo.regression.Regressor;
 import de.bwaldvogel.liblinear.SolverType;
 
-import java.io.Serializable;
-
 /**
  * The carrier type for liblinear linear regression modes.
  * <p>
  * Supports: L2R_L2LOSS_SVR, L2R_L2LOSS_SVR_DUAL, L2R_L1LOSS_SVR_DUAL.
  */
 public final class LinearRegressionType implements LibLinearType<Regressor> {
-    private static final long serialVersionUID = 1L;
 
     /**
      * The type of linear regression algorithm.
      */
-    public enum LinearType implements Serializable {
+    public enum LinearType {
         /**
          * L2-regularized L2-loss support vector regression (primal)
          */
diff --git a/Regression/LibLinear/src/test/java/org/tribuo/regression/liblinear/TestLibLinear.java b/Regression/LibLinear/src/test/java/org/tribuo/regression/liblinear/TestLibLinear.java
index 7783f4262..0eba81d40 100644
--- a/Regression/LibLinear/src/test/java/org/tribuo/regression/liblinear/TestLibLinear.java
+++ b/Regression/LibLinear/src/test/java/org/tribuo/regression/liblinear/TestLibLinear.java
@@ -73,7 +73,6 @@ public static Model<Regressor> testLibLinear(Pair<Dataset<Regressor>,Dataset<Reg
     public void testDenseData() {
         Pair<Dataset<Regressor>,Dataset<Regressor>> p = RegressionDataGenerator.denseTrainTest();
         Model<Regressor> model = testLibLinear(p);
-        Helpers.testModelSerialization(model, Regressor.class);
         Helpers.testModelProtoSerialization(model, Regressor.class, p.getB());
     }
 
diff --git a/Regression/LibSVM/src/test/java/org/tribuo/regression/libsvm/TestLibSVM.java b/Regression/LibSVM/src/test/java/org/tribuo/regression/libsvm/TestLibSVM.java
index afeea0807..1daf158e4 100644
--- a/Regression/LibSVM/src/test/java/org/tribuo/regression/libsvm/TestLibSVM.java
+++ b/Regression/LibSVM/src/test/java/org/tribuo/regression/libsvm/TestLibSVM.java
@@ -103,7 +103,7 @@ public static Model<Regressor> testLibSVM(Pair<Dataset<Regressor>,Dataset<Regres
     public void testDenseData() {
         Pair<Dataset<Regressor>,Dataset<Regressor>> p = RegressionDataGenerator.denseTrainTest();
         Model<Regressor> model = testLibSVM(p);
-        Helpers.testModelSerialization(model,Regressor.class);
+        Helpers.testModelProtoSerialization(model,Regressor.class);
     }
 
     @Test
diff --git a/Regression/RegressionTree/src/test/java/org/tribuo/regression/rtree/TestCARTJointRegressionTrainer.java b/Regression/RegressionTree/src/test/java/org/tribuo/regression/rtree/TestCARTJointRegressionTrainer.java
index 34a733da3..01bc33054 100644
--- a/Regression/RegressionTree/src/test/java/org/tribuo/regression/rtree/TestCARTJointRegressionTrainer.java
+++ b/Regression/RegressionTree/src/test/java/org/tribuo/regression/rtree/TestCARTJointRegressionTrainer.java
@@ -72,7 +72,6 @@ public static Model<Regressor> testJointRegressionTree(Pair<Dataset<Regressor>,
     public void testDenseData() {
         Pair<Dataset<Regressor>, Dataset<Regressor>> p = RegressionDataGenerator.denseTrainTest();
         Model<Regressor> model = testJointRegressionTree(p, t);
-        Helpers.testModelSerialization(model, Regressor.class);
         Helpers.testModelProtoSerialization(model, Regressor.class, p.getB());
     }
 
diff --git a/Regression/RegressionTree/src/test/java/org/tribuo/regression/rtree/TestCARTRegressionTrainer.java b/Regression/RegressionTree/src/test/java/org/tribuo/regression/rtree/TestCARTRegressionTrainer.java
index 46ea3d06a..592946afc 100644
--- a/Regression/RegressionTree/src/test/java/org/tribuo/regression/rtree/TestCARTRegressionTrainer.java
+++ b/Regression/RegressionTree/src/test/java/org/tribuo/regression/rtree/TestCARTRegressionTrainer.java
@@ -76,7 +76,7 @@ public static Model<Regressor> runDenseData(CARTRegressionTrainer trainer) {
     @Test
     public void testDenseData() {
         Model<Regressor> model = runDenseData(t);
-        Helpers.testModelSerialization(model,Regressor.class);
+        Helpers.testModelProtoSerialization(model,Regressor.class);
     }
 
     @Test
diff --git a/Regression/RegressionTree/src/test/java/org/tribuo/regression/rtree/TestRegressionEnsembles.java b/Regression/RegressionTree/src/test/java/org/tribuo/regression/rtree/TestRegressionEnsembles.java
index 3a184d8f2..e1931b19e 100644
--- a/Regression/RegressionTree/src/test/java/org/tribuo/regression/rtree/TestRegressionEnsembles.java
+++ b/Regression/RegressionTree/src/test/java/org/tribuo/regression/rtree/TestRegressionEnsembles.java
@@ -90,17 +90,17 @@ public static Model<Regressor> testExtraTrees(Pair<Dataset<Regressor>,Dataset<Re
     public void testDenseData() {
         Pair<Dataset<Regressor>,Dataset<Regressor>> p = RegressionDataGenerator.denseTrainTest();
         Model<Regressor> bagging = testBagging(p);
-        Helpers.testModelSerialization(bagging,Regressor.class);
+        Helpers.testModelProtoSerialization(bagging,Regressor.class);
         Model<Regressor> mBagging = testMultiBagging(p);
-        Helpers.testModelSerialization(mBagging,Regressor.class);
+        Helpers.testModelProtoSerialization(mBagging,Regressor.class);
         Model<Regressor> rf = testRandomForest(p);
-        Helpers.testModelSerialization(rf,Regressor.class);
+        Helpers.testModelProtoSerialization(rf,Regressor.class);
         Model<Regressor> mRF = testMultiRandomForest(p);
-        Helpers.testModelSerialization(mRF,Regressor.class);
+        Helpers.testModelProtoSerialization(mRF,Regressor.class);
         Model<Regressor> extra = testExtraTrees(p);
-        Helpers.testModelSerialization(extra,Regressor.class);
+        Helpers.testModelProtoSerialization(extra,Regressor.class);
         Model<Regressor> mExtra = testMultiExtraTrees(p);
-        Helpers.testModelSerialization(mExtra,Regressor.class);
+        Helpers.testModelProtoSerialization(mExtra,Regressor.class);
     }
 
     @Test
diff --git a/Regression/SGD/src/test/java/org/tribuo/regression/sgd/fm/TestFMRegression.java b/Regression/SGD/src/test/java/org/tribuo/regression/sgd/fm/TestFMRegression.java
index 216622c34..8077e7119 100644
--- a/Regression/SGD/src/test/java/org/tribuo/regression/sgd/fm/TestFMRegression.java
+++ b/Regression/SGD/src/test/java/org/tribuo/regression/sgd/fm/TestFMRegression.java
@@ -84,7 +84,6 @@ public static Model<Regressor> testFMRegression(Pair<Dataset<Regressor>,Dataset<
     public void testDenseData() {
         Pair<Dataset<Regressor>,Dataset<Regressor>> p = RegressionDataGenerator.denseTrainTest();
         Model<Regressor> model = testFMRegression(p);
-        Helpers.testModelSerialization(model,Regressor.class);
         Helpers.testModelProtoSerialization(model, Regressor.class, p.getB());
     }
 
diff --git a/Regression/SGD/src/test/java/org/tribuo/regression/sgd/linear/TestSGDLinear.java b/Regression/SGD/src/test/java/org/tribuo/regression/sgd/linear/TestSGDLinear.java
index b6092a8a8..2f12efbbf 100644
--- a/Regression/SGD/src/test/java/org/tribuo/regression/sgd/linear/TestSGDLinear.java
+++ b/Regression/SGD/src/test/java/org/tribuo/regression/sgd/linear/TestSGDLinear.java
@@ -108,7 +108,6 @@ public void testOnnxSerialization() throws IOException, OrtException {
     public void testDenseData() {
         Pair<Dataset<Regressor>,Dataset<Regressor>> p = RegressionDataGenerator.denseTrainTest();
         Model<Regressor> model = testSGDLinear(p);
-        Helpers.testModelSerialization(model,Regressor.class);
         Helpers.testModelProtoSerialization(model, Regressor.class, p.getB());
     }
 
diff --git a/Regression/SLM/src/test/java/org/tribuo/regression/slm/TestSLM.java b/Regression/SLM/src/test/java/org/tribuo/regression/slm/TestSLM.java
index 10b19f016..adb0833cb 100644
--- a/Regression/SLM/src/test/java/org/tribuo/regression/slm/TestSLM.java
+++ b/Regression/SLM/src/test/java/org/tribuo/regression/slm/TestSLM.java
@@ -134,19 +134,14 @@ public static Model<Regressor> testElasticNet(Pair<Dataset<Regressor>,Dataset<Re
     public void testDenseData() {
         Pair<Dataset<Regressor>,Dataset<Regressor>> p = RegressionDataGenerator.denseTrainTest();
         Model<Regressor> sfs = testSFS(p,false);
-        Helpers.testModelSerialization(sfs,Regressor.class);
         Helpers.testModelProtoSerialization(sfs,Regressor.class,p.getB());
         Model<Regressor> sfsn = testSFSN(p,false);
-        Helpers.testModelSerialization(sfsn,Regressor.class);
         Helpers.testModelProtoSerialization(sfsn,Regressor.class,p.getB());
         Model<Regressor> lars = testLARS(p,false);
-        Helpers.testModelSerialization(lars,Regressor.class);
         Helpers.testModelProtoSerialization(lars,Regressor.class,p.getB());
         Model<Regressor> lasso = testLASSO(p,false);
-        Helpers.testModelSerialization(lasso,Regressor.class);
         Helpers.testModelProtoSerialization(lasso,Regressor.class,p.getB());
         Model<Regressor> elastic = testElasticNet(p,false);
-        Helpers.testModelSerialization(elastic,Regressor.class);
         Helpers.testModelProtoSerialization(elastic,Regressor.class,p.getB());
     }
 
@@ -189,7 +184,7 @@ public void testNonlinearData() {
         testSFSN(p,true);
         testLARS(p,true);
         Model<Regressor> lasso = testLASSO(p,true);
-        Helpers.testModelSerialization(lasso,Regressor.class);
+        Helpers.testModelProtoSerialization(lasso,Regressor.class);
         testElasticNet(p,true);
     }
 
diff --git a/Regression/XGBoost/src/test/java/org/tribuo/regression/xgboost/TestXGBoost.java b/Regression/XGBoost/src/test/java/org/tribuo/regression/xgboost/TestXGBoost.java
index 740d1c041..05d2f0c6f 100644
--- a/Regression/XGBoost/src/test/java/org/tribuo/regression/xgboost/TestXGBoost.java
+++ b/Regression/XGBoost/src/test/java/org/tribuo/regression/xgboost/TestXGBoost.java
@@ -60,7 +60,6 @@ public static Model<Regressor> testXGBoost(Pair<Dataset<Regressor>,Dataset<Regre
     public void testMultiDenseData() {
         Pair<Dataset<Regressor>,Dataset<Regressor>> p = RegressionDataGenerator.multiDimDenseTrainTest();
         Model<Regressor> model = testXGBoost(p);
-        Helpers.testModelSerialization(model,Regressor.class);
         Helpers.testModelProtoSerialization(model, Regressor.class, p.getB());
     }
 
diff --git a/Util/Tokenization/src/test/java/org/tribuo/util/tokens/TokenizerTestWrapper.java b/Util/Tokenization/src/test/java/org/tribuo/util/tokens/TokenizerTestWrapper.java
index 4e45379cf..103157641 100644
--- a/Util/Tokenization/src/test/java/org/tribuo/util/tokens/TokenizerTestWrapper.java
+++ b/Util/Tokenization/src/test/java/org/tribuo/util/tokens/TokenizerTestWrapper.java
@@ -16,10 +16,13 @@
 
 package org.tribuo.util.tokens;
 
+import com.oracle.labs.mlrg.olcut.provenance.ProvenanceUtil;
 import com.oracle.labs.mlrg.olcut.util.IOUtil;
 
 import java.io.File;
 import java.io.IOException;
+import java.io.ObjectInputStream;
+import java.io.ObjectOutputStream;
 import java.io.Serializable;
 
 public class TokenizerTestWrapper implements Serializable {
@@ -41,4 +44,13 @@ public static Tokenizer serializeAndDeserialize(File f, Tokenizer tokenizer) thr
         return tokenizer;
     }
 
+    private void readObject(ObjectInputStream inputStream) throws ClassNotFoundException, IOException {
+        this.name = (String) inputStream.readObject();
+        this.tokenizer = (Tokenizer) ProvenanceUtil.readObject(inputStream);
+    }
+
+    private void writeObject(ObjectOutputStream outputStream) throws IOException {
+        outputStream.writeObject(this.name);
+        ProvenanceUtil.writeObject(this.tokenizer, outputStream);
+    }
 }

From 060299d8b1789af19ddf7cd9e372e67eef92d420 Mon Sep 17 00:00:00 2001
From: Adam Pocock <adam.pocock@oracle.com>
Date: Fri, 17 Feb 2023 21:43:55 -0500
Subject: [PATCH 3/9] Cleaning up tests for old models.

---
 .../sgd/linear/TestSGDLinear.java             |  22 --------
 Core/src/main/java/org/tribuo/Model.java      |   5 --
 .../org/tribuo/sequence/SequenceModel.java    |   5 --
 .../regression/liblinear/TestLibLinear.java   |  21 --------
 .../liblinear/liblinear-4.1.0.model           | Bin 9315 -> 0 bytes
 .../tribuo/regression/libsvm/TestLibSVM.java  |  24 ---------
 .../regression/libsvm/libsvm-4.1.0.model      | Bin 11194 -> 0 bytes
 .../regression/sgd/linear/TestSGDLinear.java  |  48 ------------------
 .../regression/sgd/linear/linear-4.1.0.model  | Bin 9573 -> 0 bytes
 .../linear/regressor-linear-sgd-4.0.2.model   | Bin 8632 -> 0 bytes
 .../org/tribuo/regression/slm/TestSLM.java    |  39 --------------
 .../regression/xgboost/TestXGBoost.java       |  23 ---------
 12 files changed, 187 deletions(-)
 delete mode 100644 Regression/LibLinear/src/test/resources/org/tribuo/regression/liblinear/liblinear-4.1.0.model
 delete mode 100644 Regression/LibSVM/src/test/resources/org/tribuo/regression/libsvm/libsvm-4.1.0.model
 delete mode 100644 Regression/SGD/src/test/resources/org/tribuo/regression/sgd/linear/linear-4.1.0.model
 delete mode 100644 Regression/SGD/src/test/resources/org/tribuo/regression/sgd/linear/regressor-linear-sgd-4.0.2.model

diff --git a/Classification/SGD/src/test/java/org/tribuo/classification/sgd/linear/TestSGDLinear.java b/Classification/SGD/src/test/java/org/tribuo/classification/sgd/linear/TestSGDLinear.java
index c3574f5b5..171ba8b0a 100644
--- a/Classification/SGD/src/test/java/org/tribuo/classification/sgd/linear/TestSGDLinear.java
+++ b/Classification/SGD/src/test/java/org/tribuo/classification/sgd/linear/TestSGDLinear.java
@@ -152,28 +152,6 @@ public void testEmptyExample() {
         });
     }
 
-    @ParameterizedTest
-    @ValueSource(strings = {"label-linear-sgd-4.0.2.model"})
-    public void testSerializedModel(String resourceName) throws IOException, ClassNotFoundException {
-        try (ObjectInputStream ois = new ObjectInputStream(TestSGDLinear.class.getResource(resourceName).openStream())) {
-           Model<?> model = (Model<?>) ois.readObject();
-           if (model.validate(Label.class)) {
-               @SuppressWarnings("unchecked") // Guarded by validate call.
-               Model<Label> m = (Model<Label>) model;
-               LabelEvaluator e = new LabelEvaluator();
-               LabelEvaluation evaluation = e.evaluate(m,LabelledDataGenerator.denseTrainTest().getB());
-               Map<String, List<Pair<String,Double>>> features = m.getTopFeatures(3);
-               Assertions.assertNotNull(features);
-               assertFalse(features.isEmpty());
-               features = m.getTopFeatures(-1);
-               Assertions.assertNotNull(features);
-               assertFalse(features.isEmpty());
-           } else {
-               fail("Invalid model type found, expected Label");
-           }
-        }
-    }
-
     @Test
     public void loadProtobufModel() throws IOException, URISyntaxException {
         Path path = Paths.get(TestSGDLinear.class.getResource("lin-clf-431.tribuo").toURI());
diff --git a/Core/src/main/java/org/tribuo/Model.java b/Core/src/main/java/org/tribuo/Model.java
index 453e67a8d..38fce0435 100644
--- a/Core/src/main/java/org/tribuo/Model.java
+++ b/Core/src/main/java/org/tribuo/Model.java
@@ -332,11 +332,6 @@ public <U extends Output<U>> Model<U> castModel(Class<U> outputType) {
         }
     }
 
-    @Override
-    public ModelProto serialize() {
-        throw new UnsupportedOperationException("The default implementation of Model.serialize() must be overridden to support protobuf serialization.");
-    }
-
     /**
      * Serializes this model to a {@link ModelProto} and writes it to the supplied path.
      * @param path The path to write to.
diff --git a/Core/src/main/java/org/tribuo/sequence/SequenceModel.java b/Core/src/main/java/org/tribuo/sequence/SequenceModel.java
index 74c345789..d50df0c59 100644
--- a/Core/src/main/java/org/tribuo/sequence/SequenceModel.java
+++ b/Core/src/main/java/org/tribuo/sequence/SequenceModel.java
@@ -186,11 +186,6 @@ public List<List<Prediction<T>>> predict(SequenceDataset<T> examples) {
         return predictions;
     }
 
-    @Override
-    public SequenceModelProto serialize() {
-        throw new UnsupportedOperationException("The default implementation of SequenceModel.serialize() must be overridden to support protobuf serialization.");
-    }
-
     /**
      * Serializes this model to a {@link SequenceModelProto} and writes it to the supplied path.
      * @param path The path to write to.
diff --git a/Regression/LibLinear/src/test/java/org/tribuo/regression/liblinear/TestLibLinear.java b/Regression/LibLinear/src/test/java/org/tribuo/regression/liblinear/TestLibLinear.java
index 0eba81d40..4ec374bf7 100644
--- a/Regression/LibLinear/src/test/java/org/tribuo/regression/liblinear/TestLibLinear.java
+++ b/Regression/LibLinear/src/test/java/org/tribuo/regression/liblinear/TestLibLinear.java
@@ -55,8 +55,6 @@ public class TestLibLinear {
     private static final LibLinearRegressionTrainer t = new LibLinearRegressionTrainer(new LinearRegressionType(LinearType.L2R_L2LOSS_SVR_DUAL),1.0,1000,0.1,0.5);
     private static final RegressionEvaluator e = new RegressionEvaluator();
 
-    private static final URL TEST_REGRESSION_REORDER_MODEL = TestLibLinear.class.getResource("liblinear-4.1.0.model");
-
     @BeforeAll
     public static void setup() {
         Logger logger = Logger.getLogger(LibLinearTrainer.class.getName());
@@ -157,25 +155,6 @@ public void testMultiEmptyExample() {
         });
     }
 
-    @Test
-    public void testRegressionReordering() throws IOException, ClassNotFoundException {
-        try (ObjectInputStream ois = new ObjectInputStream(TEST_REGRESSION_REORDER_MODEL.openStream())) {
-            @SuppressWarnings("unchecked")
-            Model<Regressor> serializedModel = (Model<Regressor>) ois.readObject();
-            Pair<Dataset<Regressor>,Dataset<Regressor>> p = RegressionDataGenerator.threeDimDenseTrainTest(1.0, false);
-            RegressionEvaluation llEval = e.evaluate(serializedModel,p.getB());
-            double expectedDim1 = 0.6634367596601265;
-            double expectedDim2 = 0.6634367596601265;
-            double expectedDim3 = 0.01112107563226139;
-            double expectedAve = 0.4459981983175048;
-
-            assertEquals(expectedDim1,llEval.r2(new Regressor(RegressionDataGenerator.firstDimensionName,Double.NaN)),1e-6);
-            assertEquals(expectedDim2,llEval.r2(new Regressor(RegressionDataGenerator.secondDimensionName,Double.NaN)),1e-6);
-            assertEquals(expectedDim3,llEval.r2(new Regressor(RegressionDataGenerator.thirdDimensionName,Double.NaN)),1e-6);
-            assertEquals(expectedAve,llEval.averageR2(),1e-6);
-        }
-    }
-
     @Test
     public void testOnnxSerialization() throws IOException, OrtException {
         Pair<Dataset<Regressor>,Dataset<Regressor>> p = RegressionDataGenerator.denseTrainTest();
diff --git a/Regression/LibLinear/src/test/resources/org/tribuo/regression/liblinear/liblinear-4.1.0.model b/Regression/LibLinear/src/test/resources/org/tribuo/regression/liblinear/liblinear-4.1.0.model
deleted file mode 100644
index 43fd488adfb586429ce9ab007d412c27e32d21b6..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 9315
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diff --git a/Regression/LibSVM/src/test/java/org/tribuo/regression/libsvm/TestLibSVM.java b/Regression/LibSVM/src/test/java/org/tribuo/regression/libsvm/TestLibSVM.java
index 1daf158e4..c00b9f34c 100644
--- a/Regression/LibSVM/src/test/java/org/tribuo/regression/libsvm/TestLibSVM.java
+++ b/Regression/LibSVM/src/test/java/org/tribuo/regression/libsvm/TestLibSVM.java
@@ -47,9 +47,7 @@
 
 import java.io.IOException;
 import java.io.InputStream;
-import java.io.ObjectInputStream;
 import java.net.URISyntaxException;
-import java.net.URL;
 import java.nio.file.Files;
 import java.nio.file.Path;
 import java.nio.file.Paths;
@@ -83,8 +81,6 @@ public class TestLibSVM {
         rbf = new LibSVMRegressionTrainer(rbfParams);
     }
 
-    private static final URL TEST_REGRESSION_REORDER_MODEL = TestLibSVM.class.getResource("libsvm-4.1.0.model");
-
     @BeforeAll
     public static void setup() {
         Logger logger = Logger.getLogger(LibSVMTrainer.class.getName());
@@ -218,26 +214,6 @@ public void testMultiEmptyExample() {
         });
     }
 
-    @Test
-    public void testRegressionReordering() throws IOException, ClassNotFoundException {
-        try (ObjectInputStream ois = new ObjectInputStream(TEST_REGRESSION_REORDER_MODEL.openStream())) {
-            @SuppressWarnings("unchecked")
-            Model<Regressor> serializedModel = (Model<Regressor>) ois.readObject();
-            Pair<Dataset<Regressor>,Dataset<Regressor>> p = RegressionDataGenerator.threeDimDenseTrainTest(1.0, false);
-            RegressionEvaluation llEval = eval.evaluate(serializedModel,p.getB());
-            double expectedDim1 = 0.0038608193481045605;
-            double expectedDim2 = 0.0038608193481045605;
-            double expectedDim3 = -0.12392916600305548;
-            double expectedAve = -0.03873584243561545;
-
-            assertEquals(expectedDim1,llEval.r2(new Regressor(RegressionDataGenerator.firstDimensionName,Double.NaN)),1e-6);
-            assertEquals(expectedDim2,llEval.r2(new Regressor(RegressionDataGenerator.secondDimensionName,Double.NaN)),1e-6);
-            assertEquals(expectedDim3,llEval.r2(new Regressor(RegressionDataGenerator.thirdDimensionName,Double.NaN)),1e-6);
-            assertEquals(expectedAve,llEval.averageR2(),1e-6);
-        }
-    }
-
-
     @Test
     public void testOnnxSerialization() throws IOException, OrtException {
         Pair<Dataset<Regressor>,Dataset<Regressor>> dense = RegressionDataGenerator.denseTrainTest();
diff --git a/Regression/LibSVM/src/test/resources/org/tribuo/regression/libsvm/libsvm-4.1.0.model b/Regression/LibSVM/src/test/resources/org/tribuo/regression/libsvm/libsvm-4.1.0.model
deleted file mode 100644
index e062b3f6836ff29fb37a79d15182d8179858117e..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

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diff --git a/Regression/SGD/src/test/java/org/tribuo/regression/sgd/linear/TestSGDLinear.java b/Regression/SGD/src/test/java/org/tribuo/regression/sgd/linear/TestSGDLinear.java
index 2f12efbbf..9b65e02ef 100644
--- a/Regression/SGD/src/test/java/org/tribuo/regression/sgd/linear/TestSGDLinear.java
+++ b/Regression/SGD/src/test/java/org/tribuo/regression/sgd/linear/TestSGDLinear.java
@@ -18,8 +18,6 @@
 
 import ai.onnxruntime.OrtException;
 import com.oracle.labs.mlrg.olcut.util.Pair;
-import org.junit.jupiter.params.ParameterizedTest;
-import org.junit.jupiter.params.provider.ValueSource;
 import org.tribuo.Dataset;
 import org.tribuo.Model;
 import org.tribuo.Prediction;
@@ -44,9 +42,7 @@
 
 import java.io.IOException;
 import java.io.InputStream;
-import java.io.ObjectInputStream;
 import java.net.URISyntaxException;
-import java.net.URL;
 import java.nio.file.Files;
 import java.nio.file.Path;
 import java.nio.file.Paths;
@@ -58,7 +54,6 @@
 import static org.junit.jupiter.api.Assertions.assertEquals;
 import static org.junit.jupiter.api.Assertions.assertThrows;
 import static org.junit.jupiter.api.Assertions.assertTrue;
-import static org.junit.jupiter.api.Assertions.fail;
 
 public class TestSGDLinear {
     private static final Logger logger = Logger.getLogger(TestSGDLinear.class.getName());
@@ -67,8 +62,6 @@ public class TestSGDLinear {
 
     private static final RegressionEvaluator e = new RegressionEvaluator();
 
-    private static final URL TEST_REGRESSION_REORDER_MODEL = TestSGDLinear.class.getResource("linear-4.1.0.model");
-
     @BeforeAll
     public static void setup() {
         Class<?>[] classes = new Class<?>[]{AbstractSGDTrainer.class, AbstractLinearSGDTrainer.class,LinearSGDTrainer.class};
@@ -230,28 +223,6 @@ public void testNegativeInvocationCount(){
         });
     }
 
-    @ParameterizedTest
-    @ValueSource(strings = {"regressor-linear-sgd-4.0.2.model"})
-    public void testSerializedModel(String resourceName) throws IOException, ClassNotFoundException {
-        try (ObjectInputStream ois = new ObjectInputStream(TestSGDLinear.class.getResource(resourceName).openStream())) {
-            Model<?> model = (Model<?>) ois.readObject();
-            if (model.validate(Regressor.class)) {
-                @SuppressWarnings("unchecked") // Guarded by validate call.
-                Model<Regressor> m = (Model<Regressor>) model;
-                RegressionEvaluator e = new RegressionEvaluator();
-                RegressionEvaluation evaluation = e.evaluate(m,RegressionDataGenerator.denseTrainTest().getB());
-                Map<String, List<Pair<String,Double>>> features = m.getTopFeatures(3);
-                Assertions.assertNotNull(features);
-                Assertions.assertFalse(features.isEmpty());
-                features = m.getTopFeatures(-1);
-                Assertions.assertNotNull(features);
-                Assertions.assertFalse(features.isEmpty());
-            } else {
-                fail("Invalid model type found, expected Label");
-            }
-        }
-    }
-
     @Test
     public void testThreeDenseData() {
         LinearSGDTrainer freshTrainer = new LinearSGDTrainer(new SquaredLoss(), new AdaGrad(1.0,0.1),10,1000, 1L);
@@ -280,25 +251,6 @@ public void testThreeDenseData() {
         assertEquals(expectedAve,reorderedEval.averageR2(),1e-6);
     }
 
-    @Test
-    public void testRegressionReordering() throws IOException, ClassNotFoundException {
-        try (ObjectInputStream ois = new ObjectInputStream(TEST_REGRESSION_REORDER_MODEL.openStream())) {
-            @SuppressWarnings("unchecked")
-            Model<Regressor> serializedModel = (Model<Regressor>) ois.readObject();
-            Pair<Dataset<Regressor>,Dataset<Regressor>> p = RegressionDataGenerator.threeDimDenseTrainTest(1.0, false);
-            RegressionEvaluation llEval = e.evaluate(serializedModel,p.getB());
-            double expectedDim1 = 0.5008176578612609;
-            double expectedDim2 = 0.5008176578612609;
-            double expectedDim3 = 0.3273674684274661;
-            double expectedAve = 0.44300092804999597;
-
-            assertEquals(expectedDim1,llEval.r2(new Regressor(RegressionDataGenerator.firstDimensionName,Double.NaN)),1e-6);
-            assertEquals(expectedDim2,llEval.r2(new Regressor(RegressionDataGenerator.secondDimensionName,Double.NaN)),1e-6);
-            assertEquals(expectedDim3,llEval.r2(new Regressor(RegressionDataGenerator.thirdDimensionName,Double.NaN)),1e-6);
-            assertEquals(expectedAve,llEval.averageR2(),1e-6);
-        }
-    }
-
     @Test
     public void loadProtobufModel() throws IOException, URISyntaxException {
         Path path = Paths.get(TestSGDLinear.class.getResource("lin-reg-431.tribuo").toURI());
diff --git a/Regression/SGD/src/test/resources/org/tribuo/regression/sgd/linear/linear-4.1.0.model b/Regression/SGD/src/test/resources/org/tribuo/regression/sgd/linear/linear-4.1.0.model
deleted file mode 100644
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GIT binary patch
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z_5vShUJCmMA^u{$FZ_dRp$66VV!H^S{tNxp-=ZaHfWB$ctJ%C;FbxUD&e0pH6m*v%
z14gyHqo$VOs@Y=X6u2<zhdEJMLzAGzfJ3%fwHnpGv4j1j+CUd;L6?R-XIjw60F}r&
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s@2yu-?+zdO#@`1{rd};<y5Nz(Wa^D4Pknjx+V7>_d$sT99}PYEKQ&kv4gdfE

diff --git a/Regression/SLM/src/test/java/org/tribuo/regression/slm/TestSLM.java b/Regression/SLM/src/test/java/org/tribuo/regression/slm/TestSLM.java
index adb0833cb..8bea3b969 100644
--- a/Regression/SLM/src/test/java/org/tribuo/regression/slm/TestSLM.java
+++ b/Regression/SLM/src/test/java/org/tribuo/regression/slm/TestSLM.java
@@ -39,9 +39,7 @@
 
 import java.io.IOException;
 import java.io.InputStream;
-import java.io.ObjectInputStream;
 import java.net.URISyntaxException;
-import java.net.URL;
 import java.nio.file.Files;
 import java.nio.file.Path;
 import java.nio.file.Paths;
@@ -66,9 +64,6 @@ public class TestSLM {
     private static final ElasticNetCDTrainer ELASTIC_NET = new ElasticNetCDTrainer(1.0,0.5,1e-4,500,false,0);
     private static final RegressionEvaluator e = new RegressionEvaluator();
 
-    private static final URL TEST_REGRESSION_REORDER_ENET_MODEL = TestSLM.class.getResource("enet-4.1.0.model");
-    private static final URL TEST_REGRESSION_REORDER_LARS_MODEL = TestSLM.class.getResource("lars-4.1.0.model");
-
     @BeforeAll
     public static void turnDownLogging() {
         Logger logger = Logger.getLogger(SLMTrainer.class.getName());
@@ -278,40 +273,6 @@ public void testThreeDenseDataENet() {
         assertEquals(expectedAve,reorderedEval.averageR2(),1e-6);
     }
 
-    @Test
-    public void testRegressionReordering() throws IOException, ClassNotFoundException {
-        try (ObjectInputStream ois = new ObjectInputStream(TEST_REGRESSION_REORDER_LARS_MODEL.openStream())) {
-            @SuppressWarnings("unchecked")
-            Model<Regressor> serializedModel = (Model<Regressor>) ois.readObject();
-            Pair<Dataset<Regressor>,Dataset<Regressor>> p = RegressionDataGenerator.threeDimDenseTrainTest(1.0, false);
-            RegressionEvaluation llEval = e.evaluate(serializedModel,p.getB());
-            double expectedDim1 = 0.5671244360433836;
-            double expectedDim2 = 0.5671244360433927;
-            double expectedDim3 = -2.457128076868633;
-            double expectedAve = -0.44095973492728563;
-
-            assertEquals(expectedDim1,llEval.r2(new Regressor(RegressionDataGenerator.firstDimensionName,Double.NaN)),1e-6);
-            assertEquals(expectedDim2,llEval.r2(new Regressor(RegressionDataGenerator.secondDimensionName,Double.NaN)),1e-6);
-            assertEquals(expectedDim3,llEval.r2(new Regressor(RegressionDataGenerator.thirdDimensionName,Double.NaN)),1e-6);
-            assertEquals(expectedAve,llEval.averageR2(),1e-6);
-        }
-        try (ObjectInputStream ois = new ObjectInputStream(TEST_REGRESSION_REORDER_ENET_MODEL.openStream())) {
-            @SuppressWarnings("unchecked")
-            Model<Regressor> serializedModel = (Model<Regressor>) ois.readObject();
-            Pair<Dataset<Regressor>,Dataset<Regressor>> p = RegressionDataGenerator.threeDimDenseTrainTest(1.0, false);
-            RegressionEvaluation llEval = e.evaluate(serializedModel,p.getB());
-            double expectedDim1 = 0.5902193395184064;
-            double expectedDim2 = 0.5902193395184064;
-            double expectedDim3 = 0.2563468291737646;
-            double expectedAve = 0.4789285027368592;
-
-            assertEquals(expectedDim1,llEval.r2(new Regressor(RegressionDataGenerator.firstDimensionName,Double.NaN)),1e-6);
-            assertEquals(expectedDim2,llEval.r2(new Regressor(RegressionDataGenerator.secondDimensionName,Double.NaN)),1e-6);
-            assertEquals(expectedDim3,llEval.r2(new Regressor(RegressionDataGenerator.thirdDimensionName,Double.NaN)),1e-6);
-            assertEquals(expectedAve,llEval.averageR2(),1e-6);
-        }
-    }
-
     @Test
     public void loadProtobufModel() throws IOException, URISyntaxException {
         Path path = Paths.get(TestSLM.class.getResource("lasso-reg-431.tribuo").toURI());
diff --git a/Regression/XGBoost/src/test/java/org/tribuo/regression/xgboost/TestXGBoost.java b/Regression/XGBoost/src/test/java/org/tribuo/regression/xgboost/TestXGBoost.java
index 05d2f0c6f..52b26d75a 100644
--- a/Regression/XGBoost/src/test/java/org/tribuo/regression/xgboost/TestXGBoost.java
+++ b/Regression/XGBoost/src/test/java/org/tribuo/regression/xgboost/TestXGBoost.java
@@ -31,9 +31,7 @@
 
 import java.io.IOException;
 import java.io.InputStream;
-import java.io.ObjectInputStream;
 import java.net.URISyntaxException;
-import java.net.URL;
 import java.nio.file.Files;
 import java.nio.file.Path;
 import java.nio.file.Paths;
@@ -48,8 +46,6 @@ public class TestXGBoost {
 
     private static final RegressionEvaluator e = new RegressionEvaluator();
 
-    private static final URL TEST_REGRESSION_REORDER_MODEL = TestXGBoost.class.getResource("xgboost-4.1.0.model");
-
     public static Model<Regressor> testXGBoost(Pair<Dataset<Regressor>,Dataset<Regressor>> p) {
         Model<Regressor> m = t.train(p.getA());
         e.evaluate(m,p.getB());
@@ -129,25 +125,6 @@ public void testEmptyExample() {
         });
     }
 
-    @Test
-    public void testRegressionReordering() throws IOException, ClassNotFoundException {
-        try (ObjectInputStream ois = new ObjectInputStream(TEST_REGRESSION_REORDER_MODEL.openStream())) {
-            @SuppressWarnings("unchecked")
-            Model<Regressor> serializedModel = (Model<Regressor>) ois.readObject();
-            Pair<Dataset<Regressor>,Dataset<Regressor>> p = RegressionDataGenerator.threeDimDenseTrainTest(1.0, false);
-            RegressionEvaluation llEval = e.evaluate(serializedModel,p.getB());
-            double expectedDim1 = 0.08085670251311738;
-            double expectedDim2 = 0.09825176714451844;
-            double expectedDim3 = -1.1534319157320798;
-            double expectedAve = -0.3247744820248147;
-
-            assertEquals(expectedDim1,llEval.r2(new Regressor(RegressionDataGenerator.firstDimensionName,Double.NaN)),1e-6);
-            assertEquals(expectedDim2,llEval.r2(new Regressor(RegressionDataGenerator.secondDimensionName,Double.NaN)),1e-6);
-            assertEquals(expectedDim3,llEval.r2(new Regressor(RegressionDataGenerator.thirdDimensionName,Double.NaN)),1e-6);
-            assertEquals(expectedAve,llEval.averageR2(),1e-6);
-        }
-    }
-
     @Test
     public void loadProtobufModel() throws IOException, URISyntaxException {
         Path path = Paths.get(TestXGBoost.class.getResource("xgboost-reg-431.tribuo").toURI());

From adb1263ab8215bd304a859fa138f59b0bebd13c6 Mon Sep 17 00:00:00 2001
From: Adam Pocock <adam.pocock@oracle.com>
Date: Fri, 17 Feb 2023 22:02:53 -0500
Subject: [PATCH 4/9] Stripping out more serialization.

---
 .../classification/sequence/SeqTrainTest.java | 59 ++++---------------
 .../classification/experiments/Test.java      | 31 +---------
 .../explanations/lime/LIMETextCLI.java        | 45 ++++----------
 .../liblinear/TestLibLinearModel.java         | 18 ++----
 .../classification/libsvm/TestLibSVM.java     | 15 +----
 .../classification/sgd/crf/SeqTest.java       | 52 ++++------------
 .../sgd/linear/TestSGDLinear.java             |  4 --
 .../classification/xgboost/TestXGBoost.java   |  9 ++-
 .../clustering/hdbscan/TestHdbscan.java       |  8 +--
 .../org/tribuo/common/nearest/TestKNN.java    |  8 +--
 .../tribuo/common/xgboost/XGBoostModel.java   |  4 --
 .../sequence/SequenceModelExplorer.java       |  4 --
 .../test/java/org/tribuo/test/Helpers.java    |  6 --
 .../java/org/tribuo/data/DataOptions.java     | 31 ----------
 .../java/org/tribuo/data/DatasetExplorer.java | 42 +++----------
 .../interop/modelcard/ModelCardCLI.java       | 44 ++++----------
 .../org/tribuo/interop/oci/OCIModelCLI.java   | 34 ++---------
 .../java/org/tribuo/json/StripProvenance.java | 25 +-------
 .../regression/liblinear/TestLibLinear.java   |  2 -
 19 files changed, 71 insertions(+), 370 deletions(-)

diff --git a/Classification/Core/src/main/java/org/tribuo/classification/sequence/SeqTrainTest.java b/Classification/Core/src/main/java/org/tribuo/classification/sequence/SeqTrainTest.java
index 981430d42..5533a51dd 100644
--- a/Classification/Core/src/main/java/org/tribuo/classification/sequence/SeqTrainTest.java
+++ b/Classification/Core/src/main/java/org/tribuo/classification/sequence/SeqTrainTest.java
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2015, 2022, Oracle and/or its affiliates. All rights reserved.
+ * Copyright (c) 2015, 2023, Oracle and/or its affiliates. All rights reserved.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
@@ -28,11 +28,7 @@
 import org.tribuo.sequence.SequenceTrainer;
 import org.tribuo.util.Util;
 
-import java.io.BufferedInputStream;
 import java.io.IOException;
-import java.io.ObjectInputStream;
-import java.io.ObjectOutputStream;
-import java.nio.file.Files;
 import java.nio.file.Path;
 import java.util.logging.Logger;
 
@@ -77,16 +73,6 @@ public String getOptionsDescription() {
          */
         @Option(charName = 't', longName = "trainer-name", usage = "Name of the trainer in the configuration file.")
         public SequenceTrainer<Label> trainer;
-        /**
-         * Load in the data in protobuf format.
-         */
-        @Option(charName = 'p', longName = "protobuf-format-dataset", usage = "Load the model from a protobuf. Optional")
-        public boolean protobufFormat;
-        /**
-         * Write the model out in protobuf format.
-         */
-        @Option(longName = "write-protobuf-model", usage = "Write the model out in protobuf format.")
-        public boolean writeProtobuf;
     }
 
     /**
@@ -120,32 +106,15 @@ public static void main(String[] args) throws ClassNotFoundException, IOExceptio
                 break;
             default:
                 if ((o.trainDataset != null) && (o.testDataset != null)) {
-                    if (o.protobufFormat) {
-                        logger.info("Loading protobuf format training data from " + o.trainDataset);
-                        SequenceDataset<?> tmpTrain = SequenceDataset.deserializeFromFile(o.trainDataset);
-                        train = SequenceDataset.castDataset(tmpTrain, Label.class);
-                        logger.info(String.format("Loaded %d training examples for %s", train.size(), train.getOutputs().toString()));
-                        logger.info("Found " + train.getFeatureIDMap().size() + " features");
-                        logger.info("Loading protobuf format testing data from " + o.testDataset);
-                        SequenceDataset<?> tmpTest = SequenceDataset.deserializeFromFile(o.testDataset);
-                        test = SequenceDataset.castDataset(tmpTest, Label.class);
-                        logger.info(String.format("Loaded %d testing examples", test.size()));
-                    } else {
-                        logger.info("Loading training data from " + o.trainDataset);
-                        try (ObjectInputStream ois = new ObjectInputStream(new BufferedInputStream(Files.newInputStream(o.trainDataset)));
-                             ObjectInputStream oits = new ObjectInputStream(new BufferedInputStream(Files.newInputStream(o.testDataset)))) {
-                            @SuppressWarnings("unchecked") // deserialising a generic dataset.
-                            SequenceDataset<Label> tmpTrain = (SequenceDataset<Label>) ois.readObject();
-                            train = tmpTrain;
-                            logger.info(String.format("Loaded %d training examples for %s", train.size(), train.getOutputs().toString()));
-                            logger.info("Found " + train.getFeatureIDMap().size() + " features");
-                            logger.info("Loading testing data from " + o.testDataset);
-                            @SuppressWarnings("unchecked") // deserialising a generic dataset.
-                            SequenceDataset<Label> tmpTest = (SequenceDataset<Label>) oits.readObject();
-                            test = tmpTest;
-                            logger.info(String.format("Loaded %d testing examples", test.size()));
-                        }
-                    }
+                    logger.info("Loading training data from " + o.trainDataset);
+                    SequenceDataset<?> tmpTrain = SequenceDataset.deserializeFromFile(o.trainDataset);
+                    train = SequenceDataset.castDataset(tmpTrain, Label.class);
+                    logger.info(String.format("Loaded %d training examples for %s", train.size(), train.getOutputs().toString()));
+                    logger.info("Found " + train.getFeatureIDMap().size() + " features");
+                    logger.info("Loading testing data from " + o.testDataset);
+                    SequenceDataset<?> tmpTest = SequenceDataset.deserializeFromFile(o.testDataset);
+                    test = SequenceDataset.castDataset(tmpTest, Label.class);
+                    logger.info(String.format("Loaded %d testing examples", test.size()));
                 } else {
                     logger.warning("Unknown dataset " + o.datasetName);
                     logger.info(cm.usage());
@@ -169,13 +138,7 @@ public static void main(String[] args) throws ClassNotFoundException, IOExceptio
         System.out.println(evaluation.getConfusionMatrix().toString());
 
         if (o.outputPath != null) {
-            if (o.writeProtobuf) {
-                model.serializeToFile(o.outputPath);
-            } else {
-                try (ObjectOutputStream oos = new ObjectOutputStream(Files.newOutputStream(o.outputPath))) {
-                    oos.writeObject(model);
-                }
-            }
+            model.serializeToFile(o.outputPath);
             logger.info("Serialized model to file: " + o.outputPath);
         }
     }
diff --git a/Classification/Experiments/src/main/java/org/tribuo/classification/experiments/Test.java b/Classification/Experiments/src/main/java/org/tribuo/classification/experiments/Test.java
index cb32faaf5..727b62f51 100644
--- a/Classification/Experiments/src/main/java/org/tribuo/classification/experiments/Test.java
+++ b/Classification/Experiments/src/main/java/org/tribuo/classification/experiments/Test.java
@@ -42,11 +42,8 @@
 import org.tribuo.util.Util;
 import org.tribuo.util.tokens.impl.BreakIteratorTokenizer;
 
-import java.io.BufferedInputStream;
 import java.io.BufferedWriter;
-import java.io.FileInputStream;
 import java.io.IOException;
-import java.io.ObjectInputStream;
 import java.nio.file.Files;
 import java.nio.file.Path;
 import java.util.List;
@@ -116,11 +113,6 @@ public String getOptionsDescription() {
          */
         @Option(charName = 'v', longName = "testing-file", usage = "Path to the testing file.")
         public Path testingPath;
-        /**
-         * Load the model in protobuf format.
-         */
-        @Option(longName = "read-protobuf-model", usage = "Load the model in protobuf format.")
-        public boolean protobufModel;
     }
 
     /**
@@ -134,33 +126,12 @@ public static Pair<Model<Label>,Dataset<Label>> load(ConfigurableTestOptions o)
         Path modelPath = o.modelPath;
         Path datasetPath = o.testingPath;
         logger.info(String.format("Loading model from %s", modelPath));
-        Model<?> tmpModel;
-        if (o.protobufModel) {
-            tmpModel = Model.deserializeFromFile(modelPath);
-        } else {
-            try (ObjectInputStream mois = new ObjectInputStream(new BufferedInputStream(new FileInputStream(modelPath.toFile())))) {
-                tmpModel = (Model<?>) mois.readObject();
-            } catch (ClassNotFoundException e) {
-                throw new IllegalArgumentException("Unknown class in serialised model", e);
-            }
-        }
+        Model<?> tmpModel = Model.deserializeFromFile(modelPath);
         Model<Label> model = tmpModel.castModel(Label.class);
         logger.info(String.format("Loading data from %s", datasetPath));
         Dataset<Label> test;
         switch (o.inputFormat) {
             case SERIALIZED:
-                //
-                // Load Tribuo serialised datasets.
-                logger.info("Deserialising dataset from " + datasetPath);
-                try (ObjectInputStream oits = new ObjectInputStream(new BufferedInputStream(new FileInputStream(datasetPath.toFile())))) {
-                    Dataset<Label> deserTest = (Dataset<Label>) oits.readObject();
-                    test = ImmutableDataset.copyDataset(deserTest,model.getFeatureIDMap(),model.getOutputIDInfo());
-                    logger.info(String.format("Loaded %d testing examples for %s", test.size(), test.getOutputs().toString()));
-                } catch (ClassNotFoundException e) {
-                    throw new IllegalArgumentException("Unknown class in serialised dataset", e);
-                }
-                break;
-            case SERIALIZED_PROTOBUF:
                 //
                 // Load Tribuo protobuf serialised datasets.
                 Dataset<?> tmp = Dataset.deserializeFromFile(datasetPath);
diff --git a/Classification/Explanations/src/main/java/org/tribuo/classification/explanations/lime/LIMETextCLI.java b/Classification/Explanations/src/main/java/org/tribuo/classification/explanations/lime/LIMETextCLI.java
index 108187b2b..181a10125 100644
--- a/Classification/Explanations/src/main/java/org/tribuo/classification/explanations/lime/LIMETextCLI.java
+++ b/Classification/Explanations/src/main/java/org/tribuo/classification/explanations/lime/LIMETextCLI.java
@@ -41,12 +41,8 @@
 import org.tribuo.util.tokens.Tokenizer;
 import org.tribuo.util.tokens.universal.UniversalTokenizer;
 
-import java.io.BufferedInputStream;
 import java.io.File;
-import java.io.FileInputStream;
-import java.io.FileNotFoundException;
 import java.io.IOException;
-import java.io.ObjectInputStream;
 import java.util.SplittableRandom;
 import java.util.logging.Level;
 import java.util.logging.Logger;
@@ -115,34 +111,19 @@ public void startShell() {
      * Loads a model in from disk.
      * @param ci The command interpreter.
      * @param path The path to load the model from.
-     * @param protobuf Load the model from protobuf?
      * @return A status message.
      */
     @Command(usage = "<filename> <load-protobuf> - Load a model from disk.", completers="fileCompleter")
-    public String loadModel(CommandInterpreter ci, File path, boolean protobuf) {
+    public String loadModel(CommandInterpreter ci, File path) {
         String output = "Failed to load model";
-        if (protobuf) {
-            try {
-                Model<?> tmpModel = Model.deserializeFromFile(path.toPath());
-                model = tmpModel.castModel(Label.class);
-                output = "Loaded model from path " + path.getAbsolutePath();
-            } catch (IllegalStateException e) {
-                logger.log(Level.SEVERE, "Failed to deserialize protobuf when reading from file " + path.getAbsolutePath(), e);
-            } catch (IOException e) {
-                logger.log(Level.SEVERE, "IOException when reading from file " + path.getAbsolutePath(), e);
-            }
-        } else {
-            try (ObjectInputStream ois = new ObjectInputStream(new BufferedInputStream(new FileInputStream(path)))) {
-                Model<?> tmpModel = (Model<?>) ois.readObject();
-                model = tmpModel.castModel(Label.class);
-                output = "Loaded model from path " + path.getAbsolutePath();
-            } catch (ClassNotFoundException e) {
-                logger.log(Level.SEVERE, "Failed to load class from stream " + path.getAbsolutePath(), e);
-            } catch (FileNotFoundException e) {
-                logger.log(Level.SEVERE, "Failed to open file " + path.getAbsolutePath(), e);
-            } catch (IOException e) {
-                logger.log(Level.SEVERE, "IOException when reading from file " + path.getAbsolutePath(), e);
-            }
+        try {
+            Model<?> tmpModel = Model.deserializeFromFile(path.toPath());
+            model = tmpModel.castModel(Label.class);
+            output = "Loaded model from path " + path.getAbsolutePath();
+        } catch (IllegalStateException e) {
+            logger.log(Level.SEVERE, "Failed to deserialize protobuf when reading from file " + path.getAbsolutePath(), e);
+        } catch (IOException e) {
+            logger.log(Level.SEVERE, "IOException when reading from file " + path.getAbsolutePath(), e);
         }
 
         limeText = new LIMEText(new SplittableRandom(1),model,limeTrainer,numSamples,extractor,tokenizer);
@@ -304,12 +285,6 @@ public static class LIMETextCLIOptions implements Options {
          */
         @Option(charName = 'f', longName = "filename", usage = "Model file to load. Optional.")
         public String modelFilename;
-
-        /**
-         * Load the model from a protobuf. Optional.
-         */
-        @Option(charName = 'p', longName = "protobuf-model", usage = "Load the model from a protobuf. Optional")
-        public boolean protobufFormat;
     }
 
     /**
@@ -322,7 +297,7 @@ public static void main(String[] args) {
             ConfigurationManager cm = new ConfigurationManager(args, options, false);
             LIMETextCLI driver = new LIMETextCLI();
             if (options.modelFilename != null) {
-                logger.log(Level.INFO, driver.loadModel(driver.shell, new File(options.modelFilename), options.protobufFormat));
+                logger.log(Level.INFO, driver.loadModel(driver.shell, new File(options.modelFilename)));
             }
             driver.startShell();
         } catch (UsageException e) {
diff --git a/Classification/LibLinear/src/test/java/org/tribuo/classification/liblinear/TestLibLinearModel.java b/Classification/LibLinear/src/test/java/org/tribuo/classification/liblinear/TestLibLinearModel.java
index 2166c0fe3..56ae26b52 100644
--- a/Classification/LibLinear/src/test/java/org/tribuo/classification/liblinear/TestLibLinearModel.java
+++ b/Classification/LibLinear/src/test/java/org/tribuo/classification/liblinear/TestLibLinearModel.java
@@ -52,7 +52,6 @@
 
 import java.io.IOException;
 import java.io.InputStream;
-import java.io.ObjectInputStream;
 import java.net.URISyntaxException;
 import java.net.URL;
 import java.nio.file.Files;
@@ -112,9 +111,9 @@ public void testSingleClassTraining() {
     }
 
     @Test
-    public void testMulticlass() throws IOException, ClassNotFoundException {
+    public void testMulticlass() throws IOException {
         String prefix = "L2R_LR_multiclass";
-        LibLinearClassificationModel model = loadModel("/models/L2R_LR_multiclass.model");
+        LibLinearClassificationModel model =  (LibLinearClassificationModel) Model.deserializeFromFile(Path.of("/models/L2R_LR_multiclass.model"));
         Dataset<Label> examples = loadMulticlassTestDataset(model);
         assertNotNull(model, prefix);
         List<Prediction<Label>> predictions = model.predict(examples);
@@ -145,18 +144,9 @@ private void checkModelType(LinearType modelType) throws IOException, ClassNotFo
     }
 
 
-    private LibLinearClassificationModel loadModel(LinearType modelType) throws IOException, ClassNotFoundException {
+    private LibLinearClassificationModel loadModel(LinearType modelType) throws IOException {
         String modelPath = "/models/" + modelType + ".model";
-        return loadModel(modelPath);
-    }
-
-    private LibLinearClassificationModel loadModel(String path) throws IOException, ClassNotFoundException {
-        URL modelFile = this.getClass().getResource(path);
-        assertNotNull(modelFile, String.format("model for %s does not exist", path));
-        try (ObjectInputStream oin = new ObjectInputStream(modelFile.openStream())) {
-            Object data = oin.readObject();
-            return (LibLinearClassificationModel) data;
-        }
+        return (LibLinearClassificationModel) Model.deserializeFromFile(Path.of(modelPath));
     }
 
     private Dataset<Label> loadTestDataset(LibLinearClassificationModel model) throws IOException {
diff --git a/Classification/LibSVM/src/test/java/org/tribuo/classification/libsvm/TestLibSVM.java b/Classification/LibSVM/src/test/java/org/tribuo/classification/libsvm/TestLibSVM.java
index 3dcf47b65..163df4f7e 100644
--- a/Classification/LibSVM/src/test/java/org/tribuo/classification/libsvm/TestLibSVM.java
+++ b/Classification/LibSVM/src/test/java/org/tribuo/classification/libsvm/TestLibSVM.java
@@ -56,7 +56,6 @@
 
 import java.io.IOException;
 import java.io.InputStream;
-import java.io.ObjectInputStream;
 import java.net.URISyntaxException;
 import java.net.URL;
 import java.nio.file.Files;
@@ -75,7 +74,6 @@
 import static org.junit.jupiter.api.Assertions.assertNotNull;
 import static org.junit.jupiter.api.Assertions.assertThrows;
 import static org.junit.jupiter.api.Assertions.assertTrue;
-import static org.junit.jupiter.api.Assertions.fail;
 
 public class TestLibSVM {
     private static final Logger logger = Logger.getLogger(TestLibSVM.class.getName());
@@ -157,18 +155,7 @@ private LibSVMModel<Label> loadModel(SVMClassificationType.SVMMode modelType, Ke
             modelPath += "_multiclass";
         }
         modelPath += ".model";
-        return loadModel(modelPath);
-    }
-
-    private LibSVMModel<Label> loadModel(String path) throws IOException, ClassNotFoundException {
-        URL modelFile = this.getClass().getResource(path);
-        try (ObjectInputStream ois = new ObjectInputStream(modelFile.openStream())) {
-            Object data = ois.readObject();
-            return (LibSVMClassificationModel) data;
-        } catch (NullPointerException e) {
-            fail(String.format("model for %s does not exist", path));
-            throw e;
-        }
+        return (LibSVMClassificationModel) Model.deserializeFromFile(Path.of(modelPath));
     }
 
     private Dataset<Label> loadTestDataset(LibSVMModel<Label> model) throws IOException {
diff --git a/Classification/SGD/src/main/java/org/tribuo/classification/sgd/crf/SeqTest.java b/Classification/SGD/src/main/java/org/tribuo/classification/sgd/crf/SeqTest.java
index 92ad429cb..e853cfef4 100644
--- a/Classification/SGD/src/main/java/org/tribuo/classification/sgd/crf/SeqTest.java
+++ b/Classification/SGD/src/main/java/org/tribuo/classification/sgd/crf/SeqTest.java
@@ -35,11 +35,7 @@
 import org.tribuo.sequence.SequenceTrainer;
 import org.tribuo.util.Util;
 
-import java.io.BufferedInputStream;
 import java.io.IOException;
-import java.io.ObjectInputStream;
-import java.io.ObjectOutputStream;
-import java.nio.file.Files;
 import java.nio.file.Path;
 import java.util.logging.Logger;
 
@@ -118,11 +114,6 @@ public String getOptionsDescription() {
          */
         @Option(longName = "model-hashing-salt", usage = "Salt for hashing the model.")
         public String modelHashingSalt = "";
-        /**
-         * Load in the model in protobuf format.
-         */
-        @Option(longName = "protobuf-model", usage = "Load the model from a protobuf. Optional")
-        public boolean protobufFormat;
     }
 
     /**
@@ -162,32 +153,15 @@ public static void main(String[] args) throws ClassNotFoundException, IOExceptio
                 break;
             default:
                 if ((o.trainDataset != null) && (o.testDataset != null)) {
-                    if (o.protobufFormat) {
-                        logger.info("Loading protobuf format training data from " + o.trainDataset);
-                        SequenceDataset<?> tmpTrain = SequenceDataset.deserializeFromFile(o.trainDataset);
-                        train = SequenceDataset.castDataset(tmpTrain, Label.class);
-                        logger.info(String.format("Loaded %d training examples for %s", train.size(), train.getOutputs().toString()));
-                        logger.info("Found " + train.getFeatureIDMap().size() + " features");
-                        logger.info("Loading protobuf format testing data from " + o.testDataset);
-                        SequenceDataset<?> tmpTest = SequenceDataset.deserializeFromFile(o.testDataset);
-                        test = SequenceDataset.castDataset(tmpTest, Label.class);
-                        logger.info(String.format("Loaded %d testing examples", test.size()));
-                    } else {
-                        logger.info("Loading training data from " + o.trainDataset);
-                        try (ObjectInputStream ois = new ObjectInputStream(new BufferedInputStream(Files.newInputStream(o.trainDataset)));
-                             ObjectInputStream oits = new ObjectInputStream(new BufferedInputStream(Files.newInputStream(o.testDataset)))) {
-                            @SuppressWarnings("unchecked") // deserialising a generic dataset.
-                            SequenceDataset<Label> tmpTrain = (SequenceDataset<Label>) ois.readObject();
-                            train = tmpTrain;
-                            logger.info(String.format("Loaded %d training examples for %s", train.size(), train.getOutputs().toString()));
-                            logger.info("Found " + train.getFeatureIDMap().size() + " features");
-                            logger.info("Loading testing data from " + o.testDataset);
-                            @SuppressWarnings("unchecked") // deserialising a generic dataset.
-                            SequenceDataset<Label> tmpTest = (SequenceDataset<Label>) oits.readObject();
-                            test = tmpTest;
-                            logger.info(String.format("Loaded %d testing examples", test.size()));
-                        }
-                    }
+                    logger.info("Loading training data from " + o.trainDataset);
+                    SequenceDataset<?> tmpTrain = SequenceDataset.deserializeFromFile(o.trainDataset);
+                    train = SequenceDataset.castDataset(tmpTrain, Label.class);
+                    logger.info(String.format("Loaded %d training examples for %s", train.size(), train.getOutputs().toString()));
+                    logger.info("Found " + train.getFeatureIDMap().size() + " features");
+                    logger.info("Loading testing data from " + o.testDataset);
+                    SequenceDataset<?> tmpTest = SequenceDataset.deserializeFromFile(o.testDataset);
+                    test = SequenceDataset.castDataset(tmpTest, Label.class);
+                    logger.info(String.format("Loaded %d testing examples", test.size()));
                 } else {
                     logger.warning("Unknown dataset " + o.datasetName);
                     logger.info(cm.usage());
@@ -235,13 +209,7 @@ public static void main(String[] args) throws ClassNotFoundException, IOExceptio
         System.out.println(evaluation.getConfusionMatrix().toString());
 
         if (o.outputPath != null) {
-            if (o.protobufFormat) {
-                model.serializeToFile(o.outputPath);
-            } else {
-                try (ObjectOutputStream oos = new ObjectOutputStream(Files.newOutputStream(o.outputPath))) {
-                    oos.writeObject(model);
-                }
-            }
+            model.serializeToFile(o.outputPath);
             logger.info("Serialized model to file: " + o.outputPath);
         }
     }
diff --git a/Classification/SGD/src/test/java/org/tribuo/classification/sgd/linear/TestSGDLinear.java b/Classification/SGD/src/test/java/org/tribuo/classification/sgd/linear/TestSGDLinear.java
index 171ba8b0a..ec604db1e 100644
--- a/Classification/SGD/src/test/java/org/tribuo/classification/sgd/linear/TestSGDLinear.java
+++ b/Classification/SGD/src/test/java/org/tribuo/classification/sgd/linear/TestSGDLinear.java
@@ -18,8 +18,6 @@
 
 import ai.onnxruntime.OrtException;
 import com.oracle.labs.mlrg.olcut.util.Pair;
-import org.junit.jupiter.params.ParameterizedTest;
-import org.junit.jupiter.params.provider.ValueSource;
 import org.tribuo.Dataset;
 import org.tribuo.Example;
 import org.tribuo.Model;
@@ -44,7 +42,6 @@
 
 import java.io.IOException;
 import java.io.InputStream;
-import java.io.ObjectInputStream;
 import java.net.URISyntaxException;
 import java.nio.file.Files;
 import java.nio.file.Path;
@@ -58,7 +55,6 @@
 import static org.junit.jupiter.api.Assertions.assertFalse;
 import static org.junit.jupiter.api.Assertions.assertThrows;
 import static org.junit.jupiter.api.Assertions.assertTrue;
-import static org.junit.jupiter.api.Assertions.fail;
 
 public class TestSGDLinear {
     private static final Logger logger = Logger.getLogger(TestSGDLinear.class.getName());
diff --git a/Classification/XGBoost/src/test/java/org/tribuo/classification/xgboost/TestXGBoost.java b/Classification/XGBoost/src/test/java/org/tribuo/classification/xgboost/TestXGBoost.java
index 57d32076c..240315740 100644
--- a/Classification/XGBoost/src/test/java/org/tribuo/classification/xgboost/TestXGBoost.java
+++ b/Classification/XGBoost/src/test/java/org/tribuo/classification/xgboost/TestXGBoost.java
@@ -47,7 +47,6 @@
 
 import java.io.IOException;
 import java.io.InputStream;
-import java.io.ObjectInputStream;
 import java.net.URISyntaxException;
 import java.net.URL;
 import java.nio.file.Files;
@@ -155,13 +154,13 @@ private XGBoostModel<Label> loadModel(int numTrees, boolean multiclass) throws I
 
     private XGBoostModel<Label> loadModel(String path) throws IOException, ClassNotFoundException {
         URL modelFile = this.getClass().getResource(path);
-        try (ObjectInputStream ois = new ObjectInputStream(modelFile.openStream())) {
+        try (InputStream is = modelFile.openStream()) {
             @SuppressWarnings("unchecked") // checked by validate call.
-            XGBoostModel<Label> data = (XGBoostModel<Label>) ois.readObject();
-            if (!data.validate(Label.class)) {
+            XGBoostModel<Label> model = (XGBoostModel<Label>) Model.deserializeFromStream(is);
+            if (!model.validate(Label.class)) {
                 fail(String.format("model for %s is not a classification model.",path));
             }
-            return data;
+            return model;
         } catch (NullPointerException e) {
             fail(String.format("model for %s does not exist", path));
             throw e;
diff --git a/Clustering/Hdbscan/src/test/java/org/tribuo/clustering/hdbscan/TestHdbscan.java b/Clustering/Hdbscan/src/test/java/org/tribuo/clustering/hdbscan/TestHdbscan.java
index 32c923081..c0a4b5c79 100644
--- a/Clustering/Hdbscan/src/test/java/org/tribuo/clustering/hdbscan/TestHdbscan.java
+++ b/Clustering/Hdbscan/src/test/java/org/tribuo/clustering/hdbscan/TestHdbscan.java
@@ -54,7 +54,6 @@
 
 import java.io.IOException;
 import java.io.InputStream;
-import java.io.ObjectInputStream;
 import java.net.URI;
 import java.net.URISyntaxException;
 import java.net.URL;
@@ -301,16 +300,13 @@ public void deserializeHdbscanModelV42Test() throws URISyntaxException {
         URL serializedModelPath = this.getClass().getClassLoader().getResource(serializedModelFilename);
 
         HdbscanModel model = null;
-        try (ObjectInputStream oin = new ObjectInputStream(serializedModelPath.openStream())) {
-            Object data = oin.readObject();
-            model = (HdbscanModel) data;
+        try (InputStream is = serializedModelPath.openStream()) {
+            model = (HdbscanModel) Model.deserializeFromStream(is);
             if (!model.validate(ClusterID.class)) {
                 fail("This is not a Clustering model.");
             }
         } catch (IOException e) {
             fail("There is a problem accessing the serialized model file " + serializedModelPath);
-        } catch (ClassNotFoundException e) {
-            fail("There is a problem deserializing the model file " + serializedModelPath);
         }
 
         // In v4.2 models this value is unset and defaults to negative infinity.
diff --git a/Common/NearestNeighbour/src/test/java/org/tribuo/common/nearest/TestKNN.java b/Common/NearestNeighbour/src/test/java/org/tribuo/common/nearest/TestKNN.java
index 093ea7f95..452d6d4da 100644
--- a/Common/NearestNeighbour/src/test/java/org/tribuo/common/nearest/TestKNN.java
+++ b/Common/NearestNeighbour/src/test/java/org/tribuo/common/nearest/TestKNN.java
@@ -45,7 +45,6 @@
 
 import java.io.IOException;
 import java.io.InputStream;
-import java.io.ObjectInputStream;
 import java.net.URISyntaxException;
 import java.net.URL;
 import java.nio.file.Files;
@@ -214,16 +213,13 @@ public void deserializeKNNRegressionV42ModelTest() {
         URL serializedModelPath = this.getClass().getClassLoader().getResource(serializedModelFilename);
 
         KNNModel<Regressor> model = null;
-        try (ObjectInputStream oin = new ObjectInputStream(serializedModelPath.openStream())) {
-            Object data = oin.readObject();
-            model = (KNNModel<Regressor>) data;
+        try (InputStream is = serializedModelPath.openStream()) {
+            model = (KNNModel<Regressor>) Model.deserializeFromStream(is);
             if (!model.validate(Regressor.class)) {
                 fail("This is not a Regression model.");
             }
         } catch (IOException e) {
             fail("There is a problem accessing the serialized model file " + serializedModelPath);
-        } catch (ClassNotFoundException e) {
-            fail("There is a problem deserializing the model file "  + serializedModelPath);
         }
 
         Pair<Dataset<Regressor>,Dataset<Regressor>> pair = RegressionDataGenerator.denseTrainTest();
diff --git a/Common/XGBoost/src/main/java/org/tribuo/common/xgboost/XGBoostModel.java b/Common/XGBoost/src/main/java/org/tribuo/common/xgboost/XGBoostModel.java
index 52f9bc282..51f33fc6d 100644
--- a/Common/XGBoost/src/main/java/org/tribuo/common/xgboost/XGBoostModel.java
+++ b/Common/XGBoost/src/main/java/org/tribuo/common/xgboost/XGBoostModel.java
@@ -38,12 +38,8 @@
 import org.tribuo.protos.ProtoUtil;
 import org.tribuo.protos.core.ModelProto;
 import org.tribuo.provenance.ModelProvenance;
-import org.tribuo.provenance.TrainerProvenance;
 
 import java.io.IOException;
-import java.io.ObjectInputStream;
-import java.io.ObjectOutputStream;
-import java.lang.reflect.InvocationTargetException;
 import java.util.ArrayList;
 import java.util.Collections;
 import java.util.Comparator;
diff --git a/Core/src/main/java/org/tribuo/sequence/SequenceModelExplorer.java b/Core/src/main/java/org/tribuo/sequence/SequenceModelExplorer.java
index 545c1bb29..3237e8926 100644
--- a/Core/src/main/java/org/tribuo/sequence/SequenceModelExplorer.java
+++ b/Core/src/main/java/org/tribuo/sequence/SequenceModelExplorer.java
@@ -27,12 +27,8 @@
 import org.jline.reader.Completer;
 import org.jline.reader.impl.completer.NullCompleter;
 
-import java.io.BufferedInputStream;
 import java.io.File;
-import java.io.FileInputStream;
-import java.io.FileNotFoundException;
 import java.io.IOException;
-import java.io.ObjectInputStream;
 import java.util.logging.Level;
 import java.util.logging.Logger;
 
diff --git a/Core/src/test/java/org/tribuo/test/Helpers.java b/Core/src/test/java/org/tribuo/test/Helpers.java
index e5eae149f..08f1e333c 100644
--- a/Core/src/test/java/org/tribuo/test/Helpers.java
+++ b/Core/src/test/java/org/tribuo/test/Helpers.java
@@ -45,13 +45,7 @@
 import org.tribuo.sequence.SequenceDataset;
 import org.tribuo.sequence.SequenceModel;
 
-import java.io.BufferedInputStream;
-import java.io.BufferedOutputStream;
-import java.io.ByteArrayInputStream;
-import java.io.ByteArrayOutputStream;
 import java.io.IOException;
-import java.io.ObjectInputStream;
-import java.io.ObjectOutputStream;
 import java.io.OutputStream;
 import java.nio.file.Files;
 import java.nio.file.Path;
diff --git a/Data/src/main/java/org/tribuo/data/DataOptions.java b/Data/src/main/java/org/tribuo/data/DataOptions.java
index 6f155cc99..bdf34583e 100644
--- a/Data/src/main/java/org/tribuo/data/DataOptions.java
+++ b/Data/src/main/java/org/tribuo/data/DataOptions.java
@@ -41,10 +41,7 @@
 import org.tribuo.transform.transformations.LinearScalingTransformation;
 import org.tribuo.util.tokens.impl.BreakIteratorTokenizer;
 
-import java.io.BufferedInputStream;
-import java.io.FileInputStream;
 import java.io.IOException;
-import java.io.ObjectInputStream;
 import java.io.ObjectOutputStream;
 import java.nio.file.Files;
 import java.nio.file.Path;
@@ -66,10 +63,6 @@ public enum InputFormat {
          * Serialized Tribuo datasets.
          */
         SERIALIZED,
-        /**
-         * Protobuf serialized Tribuo datasets.
-         */
-        SERIALIZED_PROTOBUF,
         /**
          * LibSVM/svm-light format data.
          */
@@ -217,30 +210,6 @@ public <T extends Output<T>> Pair<Dataset<T>,Dataset<T>> load(OutputFactory<T> o
         char separator;
         switch (inputFormat) {
             case SERIALIZED:
-                //
-                // Load Tribuo serialised datasets.
-                logger.info("Deserialising dataset from " + trainingPath);
-                try (ObjectInputStream ois = new ObjectInputStream(new BufferedInputStream(new FileInputStream(trainingPath.toFile())));
-                     ObjectInputStream oits = new ObjectInputStream(new BufferedInputStream(new FileInputStream(testingPath.toFile())))) {
-                    @SuppressWarnings("unchecked")
-                    Dataset<T> tmp = (Dataset<T>) ois.readObject();
-                    train = tmp;
-                    if (minCount > 0) {
-                        logger.info("Found " + train.getFeatureIDMap().size() + " features");
-                        logger.info("Removing features that occur fewer than " + minCount + " times.");
-                        train = new MinimumCardinalityDataset<>(train, minCount);
-                    }
-                    logger.info(String.format("Loaded %d training examples for %s", train.size(), train.getOutputs().toString()));
-                    logger.info("Found " + train.getFeatureIDMap().size() + " features, and " + train.getOutputInfo().size() + " response dimensions");
-                    logger.info("Deserialising dataset from " + testingPath);
-                    @SuppressWarnings("unchecked")
-                    Dataset<T> deserTest = (Dataset<T>) oits.readObject();
-                    test = new ImmutableDataset<>(deserTest, deserTest.getSourceProvenance(), deserTest.getOutputFactory(), train.getFeatureIDMap(), train.getOutputIDInfo(), true);
-                } catch (ClassNotFoundException e) {
-                    throw new IllegalArgumentException("Unknown class in serialised files", e);
-                }
-                break;
-            case SERIALIZED_PROTOBUF:
                 //
                 // Load Tribuo protobuf serialised datasets.
                 logger.info("Deserialising protobuf dataset from " + trainingPath);
diff --git a/Data/src/main/java/org/tribuo/data/DatasetExplorer.java b/Data/src/main/java/org/tribuo/data/DatasetExplorer.java
index a8f7573ec..5bca964dd 100644
--- a/Data/src/main/java/org/tribuo/data/DatasetExplorer.java
+++ b/Data/src/main/java/org/tribuo/data/DatasetExplorer.java
@@ -29,12 +29,8 @@
 import org.jline.reader.Completer;
 import org.jline.reader.impl.completer.NullCompleter;
 
-import java.io.BufferedInputStream;
 import java.io.File;
-import java.io.FileInputStream;
-import java.io.FileNotFoundException;
 import java.io.IOException;
-import java.io.ObjectInputStream;
 import java.nio.file.Paths;
 import java.util.logging.Level;
 import java.util.logging.Logger;
@@ -90,32 +86,18 @@ public void startShell() {
      * Loads a serialized dataset.
      * @param ci The command interpreter.
      * @param path The path to load.
-     * @param protobuf Load the model from protobuf?
      * @return A status string.
      */
     @Command(usage = "<filename> <is-protobuf> - Load a dataset from disk.", completers="fileCompleter")
-    public String loadDataset(CommandInterpreter ci, File path, boolean protobuf) {
+    public String loadDataset(CommandInterpreter ci, File path) {
         String output = "Failed to load dataset";
-        if (protobuf) {
-            try {
-                dataset = Dataset.deserializeFromFile(path.toPath());
-                output = "Loaded dataset from path " + path.getAbsolutePath();
-            } catch (IllegalStateException e) {
-                logger.log(Level.SEVERE, "Failed to deserialize protobuf when reading from file " + path.getAbsolutePath(), e);
-            } catch (IOException e) {
-                logger.log(Level.SEVERE, "IOException when reading from file " + path.getAbsolutePath(), e);
-            }
-        } else {
-            try (ObjectInputStream ois = new ObjectInputStream(new BufferedInputStream(new FileInputStream(path)))) {
-                dataset = (Dataset<?>) ois.readObject();
-                output = "Loaded dataset from path " + path.getAbsolutePath();
-            } catch (ClassNotFoundException e) {
-                logger.log(Level.SEVERE, "Failed to load class from stream " + path.getAbsolutePath(), e);
-            } catch (FileNotFoundException e) {
-                logger.log(Level.SEVERE, "Failed to open file " + path.getAbsolutePath(), e);
-            } catch (IOException e) {
-                logger.log(Level.SEVERE, "IOException when reading from file " + path.getAbsolutePath(), e);
-            }
+        try {
+            dataset = Dataset.deserializeFromFile(path.toPath());
+            output = "Loaded dataset from path " + path.getAbsolutePath();
+        } catch (IllegalStateException e) {
+            logger.log(Level.SEVERE, "Failed to deserialize protobuf when reading from file " + path.getAbsolutePath(), e);
+        } catch (IOException e) {
+            logger.log(Level.SEVERE, "IOException when reading from file " + path.getAbsolutePath(), e);
         }
 
         return output;
@@ -231,12 +213,6 @@ public static class DatasetExplorerOptions implements Options {
          */
         @Option(charName = 'f', longName = "filename", usage = "Dataset file to load. Optional.")
         public String modelFilename;
-
-        /**
-         * Load the model from a protobuf. Optional.
-         */
-        @Option(charName = 'p', longName = "protobuf-model", usage = "Load the model from a protobuf. Optional")
-        public boolean protobufFormat;
     }
 
     /**
@@ -248,7 +224,7 @@ public static void main(String[] args) {
         ConfigurationManager cm = new ConfigurationManager(args,options,false);
         DatasetExplorer driver = new DatasetExplorer();
         if (options.modelFilename != null) {
-            logger.log(Level.INFO,driver.loadDataset(driver.shell, new File(options.modelFilename), options.protobufFormat));
+            logger.log(Level.INFO,driver.loadDataset(driver.shell, new File(options.modelFilename)));
         }
         driver.startShell();
     }
diff --git a/Interop/ModelCard/src/main/java/org/tribuo/interop/modelcard/ModelCardCLI.java b/Interop/ModelCard/src/main/java/org/tribuo/interop/modelcard/ModelCardCLI.java
index 6d641f004..58267d23b 100644
--- a/Interop/ModelCard/src/main/java/org/tribuo/interop/modelcard/ModelCardCLI.java
+++ b/Interop/ModelCard/src/main/java/org/tribuo/interop/modelcard/ModelCardCLI.java
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2022, Oracle and/or its affiliates. All rights reserved.
+ * Copyright (c) 2022, 2023 Oracle and/or its affiliates. All rights reserved.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
@@ -26,12 +26,8 @@
 import com.oracle.labs.mlrg.olcut.provenance.ProvenanceUtil;
 import org.tribuo.Model;
 
-import java.io.BufferedInputStream;
 import java.io.File;
-import java.io.FileInputStream;
-import java.io.FileNotFoundException;
 import java.io.IOException;
-import java.io.ObjectInputStream;
 import java.util.ArrayList;
 import java.util.List;
 import java.util.logging.Level;
@@ -93,32 +89,18 @@ public String getDescription() {
      * Loads in a model and builds a partial model card from the provenance.
      * @param ci The command shell.
      * @param path The path to load.
-     * @param protobuf Is the model a protobuf?
      * @return A status string.
      */
     @Command(usage = "<path> <is-protobuf> - Loads a model in and builds a partial model card from the provenance.")
-    public String loadModel(CommandInterpreter ci, File path, boolean protobuf) {
+    public String loadModel(CommandInterpreter ci, File path) {
         String output = "Failed to load model";
-        if (protobuf) {
-            try {
-                model = Model.deserializeFromFile(path.toPath());
-                output = "Loaded model from path " + path.getAbsolutePath();
-            } catch (IllegalStateException e) {
-                logger.log(Level.SEVERE, "Failed to deserialize protobuf when reading from file " + path.getAbsolutePath(), e);
-            } catch (IOException e) {
-                logger.log(Level.SEVERE, "IOException when reading from file " + path.getAbsolutePath(), e);
-            }
-        } else {
-            try (ObjectInputStream ois = new ObjectInputStream(new BufferedInputStream(new FileInputStream(path)))) {
-                model = (Model<?>) ois.readObject();
-                output = "Loaded model from path " + path.getAbsolutePath();
-            } catch (ClassNotFoundException e) {
-                logger.log(Level.SEVERE, "Failed to load class from stream " + path.getAbsolutePath(), e);
-            } catch (FileNotFoundException e) {
-                logger.log(Level.SEVERE, "Failed to open file " + path.getAbsolutePath(), e);
-            } catch (IOException e) {
-                logger.log(Level.SEVERE, "IOException when reading from file " + path.getAbsolutePath(), e);
-            }
+        try {
+            model = Model.deserializeFromFile(path.toPath());
+            output = "Loaded model from path " + path.getAbsolutePath();
+        } catch (IllegalStateException e) {
+            logger.log(Level.SEVERE, "Failed to deserialize protobuf when reading from file " + path.getAbsolutePath(), e);
+        } catch (IOException e) {
+            logger.log(Level.SEVERE, "IOException when reading from file " + path.getAbsolutePath(), e);
         }
 
         modelCard = new ModelCard(model);
@@ -519,12 +501,6 @@ public static class ModelCardCLIOptions implements Options {
          */
         @Option(charName = 'f', longName = "filename", usage = "Model file to load. Optional.")
         public String modelFilename;
-
-        /**
-         * Load the model from a protobuf. Optional.
-         */
-        @Option(charName = 'p', longName = "protobuf-model", usage = "Load the model from a protobuf. Optional")
-        public boolean protobufFormat;
     }
 
     /**
@@ -536,7 +512,7 @@ public static void main(String[] args) {
         ConfigurationManager cm = new ConfigurationManager(args,options,false);
         ModelCardCLI driver = new ModelCardCLI();
         if (options.modelFilename != null) {
-            logger.log(Level.INFO,driver.loadModel(driver.shell, new File(options.modelFilename), options.protobufFormat));
+            logger.log(Level.INFO,driver.loadModel(driver.shell, new File(options.modelFilename)));
         }
         driver.startShell();
     }
diff --git a/Interop/OCI/src/main/java/org/tribuo/interop/oci/OCIModelCLI.java b/Interop/OCI/src/main/java/org/tribuo/interop/oci/OCIModelCLI.java
index 2fd958344..c98543a0f 100644
--- a/Interop/OCI/src/main/java/org/tribuo/interop/oci/OCIModelCLI.java
+++ b/Interop/OCI/src/main/java/org/tribuo/interop/oci/OCIModelCLI.java
@@ -35,8 +35,6 @@
 import org.tribuo.util.Util;
 
 import java.io.IOException;
-import java.io.ObjectInputStream;
-import java.nio.file.Files;
 import java.nio.file.Path;
 import java.util.HashMap;
 import java.util.Map;
@@ -56,16 +54,9 @@ public abstract class OCIModelCLI {
      */
     private OCIModelCLI() {}
 
-    private static void createModelAndDeploy(OCIModelOptions options) throws IOException, ClassNotFoundException {
+    private static void createModelAndDeploy(OCIModelOptions options) throws IOException {
         // Load the Tribuo model
-        Model<Label> model;
-        if (options.modelProtobuf) {
-            model = Model.deserializeFromFile(options.modelPath).castModel(Label.class);
-        } else {
-            try (ObjectInputStream ois = new ObjectInputStream(Files.newInputStream(options.modelPath))) {
-                model = ((Model<?>)ois.readObject()).castModel(Label.class);
-            }
-        }
+        Model<Label> model = Model.deserializeFromFile(options.modelPath).castModel(Label.class);
         if (!(model instanceof ONNXExportable)) {
             throw new IllegalArgumentException("Model not ONNXExportable, received " + model.toString());
         }
@@ -113,16 +104,9 @@ private static void deploy(OCIModelOptions options) throws IOException {
      * @throws IOException If the dataset could not be loaded, or the model deployment responded incorrectly.
      * @throws ClassNotFoundException If the dataset has an unknown class inside.
      */
-    private static void modelScoring(OCIModelOptions options) throws IOException, ClassNotFoundException {
+    private static void modelScoring(OCIModelOptions options) throws IOException {
         // Load the dataset
-        Dataset<Label> dataset;
-        if (options.datasetProtobuf) {
-            dataset = Dataset.castDataset(Dataset.deserializeFromFile(options.datasetPath), Label.class);
-        } else {
-            try (ObjectInputStream ois = new ObjectInputStream(Files.newInputStream(options.datasetPath))) {
-                dataset = Dataset.castDataset((Dataset<?>) ois.readObject(), Label.class);
-            }
-        }
+        Dataset<Label> dataset = Dataset.castDataset(Dataset.deserializeFromFile(options.datasetPath), Label.class);
         ImmutableFeatureMap featureIDMap = dataset.getFeatureIDMap();
 
         // Prep mappings
@@ -230,11 +214,6 @@ public String getOptionsDescription() {
          */
         @Option(charName='d',longName="deploy-model-path",usage="Path to the serialized model to deploy to OCI DS.")
         public Path modelPath;
-        /**
-         * Is the model stored in protobuf format?
-         */
-        @Option(longName="model-protobuf",usage="Is the model stored in protobuf format?")
-        public boolean modelProtobuf;
         /**
          * Model display name.
          */
@@ -266,11 +245,6 @@ public String getOptionsDescription() {
          */
         @Option(charName='s',longName="dataset-path",usage="Path to the serialized dataset to score.")
         public Path datasetPath;
-        /**
-         * Is the serialized dataset in protobuf format?
-         */
-        @Option(longName="dataset-protobuf",usage="Is the serialized dataset a protobuf?")
-        public boolean datasetProtobuf;
         /**
          * The id of the model deployment.
          */
diff --git a/Json/src/main/java/org/tribuo/json/StripProvenance.java b/Json/src/main/java/org/tribuo/json/StripProvenance.java
index 6d45855d7..6c50ec68c 100644
--- a/Json/src/main/java/org/tribuo/json/StripProvenance.java
+++ b/Json/src/main/java/org/tribuo/json/StripProvenance.java
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2015, 2022, Oracle and/or its affiliates. All rights reserved.
+ * Copyright (c) 2015, 2023, Oracle and/or its affiliates. All rights reserved.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
@@ -26,7 +26,6 @@
 import com.oracle.labs.mlrg.olcut.provenance.Provenance;
 import com.oracle.labs.mlrg.olcut.provenance.ProvenanceUtil;
 import com.oracle.labs.mlrg.olcut.provenance.primitives.HashProvenance;
-import com.oracle.labs.mlrg.olcut.util.IOUtil;
 import com.oracle.labs.mlrg.olcut.util.LabsLogFormatter;
 import org.tribuo.Model;
 import org.tribuo.Output;
@@ -42,8 +41,6 @@
 import java.io.FileNotFoundException;
 import java.io.FileOutputStream;
 import java.io.IOException;
-import java.io.ObjectInputStream;
-import java.io.ObjectOutputStream;
 import java.io.OutputStreamWriter;
 import java.io.PrintWriter;
 import java.io.UnsupportedEncodingException;
@@ -278,11 +275,6 @@ public String getOptionsDescription() {
          */
         @Option(charName = 't', longName = "hash-type", usage = "The hash type to use.")
         public ProvenanceUtil.HashType hashType = ObjectProvenance.DEFAULT_HASH_TYPE;
-        /**
-         * Read and write protobuf formatted models.
-         */
-        @Option(longName = "model-protobuf", usage = "Read and write protobuf formatted models.")
-        public boolean protobuf;
     }
 
     /**
@@ -313,14 +305,7 @@ public static <T extends Output<T>> void main(String[] args) {
 
         try {
             logger.info("Loading model from " + o.inputModel);
-            Model<?> model;
-            if (o.protobuf) {
-                model = Model.deserializeFromFile(o.inputModel.toPath());
-            } else {
-                try (ObjectInputStream ois = IOUtil.getObjectInputStream(o.inputModel)) {
-                    model = (Model<?>) ois.readObject();
-                }
-            }
+            Model<?> model = Model.deserializeFromFile(o.inputModel.toPath());
 
             ModelProvenance oldProvenance = model.getProvenance();
 
@@ -343,9 +328,7 @@ public static <T extends Output<T>> void main(String[] args) {
 
             ModelTuple<?> tuple = convertModel(model, provenanceHash, o);
             logger.info("Writing model to " + o.outputModel);
-            try (ObjectOutputStream oos = new ObjectOutputStream(new FileOutputStream(o.outputModel))) {
-                oos.writeObject(tuple.model);
-            }
+            tuple.model.serializeToFile(o.outputModel.toPath());
 
             ModelProvenance newProvenance = tuple.provenance;
             logger.info("Marshalling provenance and creating JSON.");
@@ -365,8 +348,6 @@ public static <T extends Output<T>> void main(String[] args) {
             logger.log(Level.SEVERE, "Failed to find the input file.", e);
         } catch (IOException e) {
             logger.log(Level.SEVERE, "IO error when reading or writing a file.", e);
-        } catch (ClassNotFoundException e) {
-            logger.log(Level.SEVERE, "The model and/or provenance classes are not on the classpath.", e);
         }
 
     }
diff --git a/Regression/LibLinear/src/test/java/org/tribuo/regression/liblinear/TestLibLinear.java b/Regression/LibLinear/src/test/java/org/tribuo/regression/liblinear/TestLibLinear.java
index 4ec374bf7..371865372 100644
--- a/Regression/LibLinear/src/test/java/org/tribuo/regression/liblinear/TestLibLinear.java
+++ b/Regression/LibLinear/src/test/java/org/tribuo/regression/liblinear/TestLibLinear.java
@@ -36,9 +36,7 @@
 
 import java.io.IOException;
 import java.io.InputStream;
-import java.io.ObjectInputStream;
 import java.net.URISyntaxException;
-import java.net.URL;
 import java.nio.file.Files;
 import java.nio.file.Path;
 import java.nio.file.Paths;

From aa06fdbcf87d4a09654d35620372481ad1e3fb58 Mon Sep 17 00:00:00 2001
From: Adam Pocock <adam.pocock@oracle.com>
Date: Fri, 17 Feb 2023 22:04:37 -0500
Subject: [PATCH 5/9] Removing old serialized models.

---
 .../sgd/linear/label-linear-sgd-4.0.2.model     | Bin 8087 -> 0 bytes
 .../org/tribuo/regression/slm/enet-4.1.0.model  | Bin 9228 -> 0 bytes
 .../org/tribuo/regression/slm/lars-4.1.0.model  | Bin 8959 -> 0 bytes
 .../regression/xgboost/xgboost-4.1.0.model      | Bin 35630 -> 0 bytes
 4 files changed, 0 insertions(+), 0 deletions(-)
 delete mode 100644 Classification/SGD/src/test/resources/org/tribuo/classification/sgd/linear/label-linear-sgd-4.0.2.model
 delete mode 100644 Regression/SLM/src/test/resources/org/tribuo/regression/slm/enet-4.1.0.model
 delete mode 100644 Regression/SLM/src/test/resources/org/tribuo/regression/slm/lars-4.1.0.model
 delete mode 100644 Regression/XGBoost/src/test/resources/org/tribuo/regression/xgboost/xgboost-4.1.0.model

diff --git a/Classification/SGD/src/test/resources/org/tribuo/classification/sgd/linear/label-linear-sgd-4.0.2.model b/Classification/SGD/src/test/resources/org/tribuo/classification/sgd/linear/label-linear-sgd-4.0.2.model
deleted file mode 100644
index b3b29e9e61d61221cf8cdbcc8355a8f1578da8b3..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

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Px(4Qdg#YXp16BVA$dRl2


From cc834d1acb9b43b089e4cc7b0f8b13ef226d6d43 Mon Sep 17 00:00:00 2001
From: Adam Pocock <adam.pocock@oracle.com>
Date: Fri, 17 Feb 2023 22:55:57 -0500
Subject: [PATCH 6/9] Updating liblinear, libsvm and knn serialized models.
 Hdbscan and XGBoost remain.

---
 .../liblinear/TestLibLinearModel.java         |  20 ++++++++++++++----
 .../resources/models/L1R_L2LOSS_SVC.model     | Bin 8629 -> 8690 bytes
 .../src/test/resources/models/L1R_LR.model    | Bin 8605 -> 8676 bytes
 .../models/L2R_L1LOSS_SVC_DUAL.model          | Bin 8644 -> 8700 bytes
 .../resources/models/L2R_L2LOSS_SVC.model     | Bin 8629 -> 8690 bytes
 .../models/L2R_L2LOSS_SVC_DUAL.model          | Bin 8644 -> 8700 bytes
 .../src/test/resources/models/L2R_LR.model    | Bin 8605 -> 8676 bytes
 .../test/resources/models/L2R_LR_DUAL.model   | Bin 8620 -> 8686 bytes
 .../resources/models/L2R_LR_multiclass.model  | Bin 8721 -> 8756 bytes
 .../src/test/resources/models/MCSVM_CS.model  | Bin 8643 -> 8710 bytes
 .../classification/libsvm/TestLibSVM.java     |  19 +++++++++++++++--
 .../test/resources/models/C_SVC_LINEAR.model  | Bin 48279 -> 33312 bytes
 .../models/C_SVC_LINEAR_multiclass.model      | Bin 56505 -> 41377 bytes
 .../test/resources/models/C_SVC_POLY.model    | Bin 48275 -> 33312 bytes
 .../models/C_SVC_POLY_multiclass.model        | Bin 57173 -> 41825 bytes
 .../src/test/resources/models/C_SVC_RBF.model | Bin 48273 -> 33311 bytes
 .../models/C_SVC_RBF_multiclass.model         | Bin 56691 -> 41504 bytes
 .../test/resources/models/C_SVC_SIGMOID.model | Bin 48281 -> 33315 bytes
 .../models/C_SVC_SIGMOID_multiclass.model     | Bin 56795 -> 41572 bytes
 .../test/resources/models/NU_SVC_LINEAR.model | Bin 29241 -> 21390 bytes
 .../models/NU_SVC_LINEAR_multiclass.model     | Bin 33659 -> 25655 bytes
 .../test/resources/models/NU_SVC_POLY.model   | Bin 29237 -> 21390 bytes
 .../models/NU_SVC_POLY_multiclass.model       | Bin 33655 -> 25655 bytes
 .../test/resources/models/NU_SVC_RBF.model    | Bin 29235 -> 21389 bytes
 .../models/NU_SVC_RBF_multiclass.model        | Bin 33653 -> 25654 bytes
 .../resources/models/NU_SVC_SIGMOID.model     | Bin 29283 -> 21418 bytes
 .../models/NU_SVC_SIGMOID_multiclass.model    | Bin 33709 -> 25691 bytes
 .../classification/xgboost/TestXGBoost.java   |   2 +-
 ...ressor_k3_L2_nt2_voting_streams_v4.2.model | Bin 10685 -> 9435 bytes
 29 files changed, 34 insertions(+), 7 deletions(-)

diff --git a/Classification/LibLinear/src/test/java/org/tribuo/classification/liblinear/TestLibLinearModel.java b/Classification/LibLinear/src/test/java/org/tribuo/classification/liblinear/TestLibLinearModel.java
index 56ae26b52..af897462b 100644
--- a/Classification/LibLinear/src/test/java/org/tribuo/classification/liblinear/TestLibLinearModel.java
+++ b/Classification/LibLinear/src/test/java/org/tribuo/classification/liblinear/TestLibLinearModel.java
@@ -70,6 +70,7 @@
 import static org.junit.jupiter.api.Assertions.assertNotNull;
 import static org.junit.jupiter.api.Assertions.assertThrows;
 import static org.junit.jupiter.api.Assertions.assertTrue;
+import static org.junit.jupiter.api.Assertions.fail;
 
 public class TestLibLinearModel {
     private static final Logger logger = Logger.getLogger(TestLibLinearModel.class.getName());
@@ -113,7 +114,7 @@ public void testSingleClassTraining() {
     @Test
     public void testMulticlass() throws IOException {
         String prefix = "L2R_LR_multiclass";
-        LibLinearClassificationModel model =  (LibLinearClassificationModel) Model.deserializeFromFile(Path.of("/models/L2R_LR_multiclass.model"));
+        LibLinearClassificationModel model = loadModel("/models/L2R_LR_multiclass.model");
         Dataset<Label> examples = loadMulticlassTestDataset(model);
         assertNotNull(model, prefix);
         List<Prediction<Label>> predictions = model.predict(examples);
@@ -127,7 +128,7 @@ public void testMulticlass() throws IOException {
         }
     }
 
-    private void checkModelType(LinearType modelType) throws IOException, ClassNotFoundException {
+    private void checkModelType(LinearType modelType) throws IOException {
         String prefix = String.format("model %s", modelType);
         LibLinearClassificationModel model = loadModel(modelType);
         Dataset<Label> examples = loadTestDataset(model);
@@ -143,10 +144,21 @@ private void checkModelType(LinearType modelType) throws IOException, ClassNotFo
         }
     }
 
-
     private LibLinearClassificationModel loadModel(LinearType modelType) throws IOException {
         String modelPath = "/models/" + modelType + ".model";
-        return (LibLinearClassificationModel) Model.deserializeFromFile(Path.of(modelPath));
+        return loadModel(modelPath);
+    }
+
+    private LibLinearClassificationModel loadModel(String path) throws IOException {
+        URL modelFile = this.getClass().getResource(path);
+        try (InputStream is = modelFile.openStream()) {
+            @SuppressWarnings("unchecked") // checked by validate call.
+            LibLinearClassificationModel model = (LibLinearClassificationModel) Model.deserializeFromStream(is);
+            return model;
+        } catch (NullPointerException e) {
+            fail(String.format("model for %s does not exist", path));
+            throw e;
+        }
     }
 
     private Dataset<Label> loadTestDataset(LibLinearClassificationModel model) throws IOException {
diff --git a/Classification/LibLinear/src/test/resources/models/L1R_L2LOSS_SVC.model b/Classification/LibLinear/src/test/resources/models/L1R_L2LOSS_SVC.model
index 524191983269ac8fb28d7369e5957c896e2a2076..fd0a63beac2656301d883446d2552e0f5819f09e 100644
GIT binary patch
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diff --git a/Classification/LibLinear/src/test/resources/models/L2R_L2LOSS_SVC.model b/Classification/LibLinear/src/test/resources/models/L2R_L2LOSS_SVC.model
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diff --git a/Classification/LibLinear/src/test/resources/models/L2R_L2LOSS_SVC_DUAL.model b/Classification/LibLinear/src/test/resources/models/L2R_L2LOSS_SVC_DUAL.model
index bd04cad1cef4df083762f00aa68148b5c78719a8..69b45b5cea51562d2b73c335ca01f3f41f577ca6 100644
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diff --git a/Classification/LibLinear/src/test/resources/models/L2R_LR_DUAL.model b/Classification/LibLinear/src/test/resources/models/L2R_LR_DUAL.model
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diff --git a/Classification/LibLinear/src/test/resources/models/MCSVM_CS.model b/Classification/LibLinear/src/test/resources/models/MCSVM_CS.model
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diff --git a/Classification/LibSVM/src/test/java/org/tribuo/classification/libsvm/TestLibSVM.java b/Classification/LibSVM/src/test/java/org/tribuo/classification/libsvm/TestLibSVM.java
index 163df4f7e..dbda69ac2 100644
--- a/Classification/LibSVM/src/test/java/org/tribuo/classification/libsvm/TestLibSVM.java
+++ b/Classification/LibSVM/src/test/java/org/tribuo/classification/libsvm/TestLibSVM.java
@@ -74,6 +74,7 @@
 import static org.junit.jupiter.api.Assertions.assertNotNull;
 import static org.junit.jupiter.api.Assertions.assertThrows;
 import static org.junit.jupiter.api.Assertions.assertTrue;
+import static org.junit.jupiter.api.Assertions.fail;
 
 public class TestLibSVM {
     private static final Logger logger = Logger.getLogger(TestLibSVM.class.getName());
@@ -148,14 +149,28 @@ private void checkModelType(SVMMode modelType, KernelType kernelType) throws IOE
         //System.out.println("*** PASSED: " + prefix);
     }
 
-
     private LibSVMModel<Label> loadModel(SVMClassificationType.SVMMode modelType, KernelType kernelType, boolean multiclass) throws IOException, ClassNotFoundException {
         String modelPath = "/models/" + modelType + "_" + kernelType;
         if (multiclass) {
             modelPath += "_multiclass";
         }
         modelPath += ".model";
-        return (LibSVMClassificationModel) Model.deserializeFromFile(Path.of(modelPath));
+        return loadModel(modelPath);
+    }
+
+    private LibSVMModel<Label> loadModel(String path) throws IOException {
+        URL modelFile = this.getClass().getResource(path);
+        try (InputStream is = modelFile.openStream()) {
+            @SuppressWarnings("unchecked") // checked by validate call.
+            LibSVMModel<Label> model = (LibSVMModel<Label>) Model.deserializeFromStream(is);
+            if (!model.validate(Label.class)) {
+                fail(String.format("model for %s is not a classification model.",path));
+            }
+            return model;
+        } catch (NullPointerException e) {
+            fail(String.format("model for %s does not exist", path));
+            throw e;
+        }
     }
 
     private Dataset<Label> loadTestDataset(LibSVMModel<Label> model) throws IOException {
diff --git a/Classification/LibSVM/src/test/resources/models/C_SVC_LINEAR.model b/Classification/LibSVM/src/test/resources/models/C_SVC_LINEAR.model
index d820fe7e2f35b713a5e8d4457bbd519ffecca84b..46f42ecddd7c11c84e92009a3860399f6efd71f6 100644
GIT binary patch
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diff --git a/Classification/LibSVM/src/test/resources/models/C_SVC_LINEAR_multiclass.model b/Classification/LibSVM/src/test/resources/models/C_SVC_LINEAR_multiclass.model
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diff --git a/Classification/LibSVM/src/test/resources/models/C_SVC_POLY_multiclass.model b/Classification/LibSVM/src/test/resources/models/C_SVC_POLY_multiclass.model
index 67aa1f6fdfc745cc30fb580fa30f57d4c3795912..32e8bea598354de8ea3c3811599560fffc709406 100644
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diff --git a/Classification/LibSVM/src/test/resources/models/C_SVC_RBF.model b/Classification/LibSVM/src/test/resources/models/C_SVC_RBF.model
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diff --git a/Classification/LibSVM/src/test/resources/models/C_SVC_SIGMOID.model b/Classification/LibSVM/src/test/resources/models/C_SVC_SIGMOID.model
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diff --git a/Classification/LibSVM/src/test/resources/models/C_SVC_SIGMOID_multiclass.model b/Classification/LibSVM/src/test/resources/models/C_SVC_SIGMOID_multiclass.model
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diff --git a/Classification/LibSVM/src/test/resources/models/NU_SVC_LINEAR.model b/Classification/LibSVM/src/test/resources/models/NU_SVC_LINEAR.model
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diff --git a/Classification/LibSVM/src/test/resources/models/NU_SVC_LINEAR_multiclass.model b/Classification/LibSVM/src/test/resources/models/NU_SVC_LINEAR_multiclass.model
index de155a058ce9c1ac63e081f9eda4ce6e7929658b..7135343f93d1fa7ff4771bf0ed291ecef0831130 100644
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diff --git a/Classification/LibSVM/src/test/resources/models/NU_SVC_POLY.model b/Classification/LibSVM/src/test/resources/models/NU_SVC_POLY.model
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diff --git a/Classification/LibSVM/src/test/resources/models/NU_SVC_POLY_multiclass.model b/Classification/LibSVM/src/test/resources/models/NU_SVC_POLY_multiclass.model
index 22c40a5068e343885599e59bdc933fb5271d15b9..dcbeacecc2bd489c99b287bac26d8dd089083620 100644
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diff --git a/Classification/LibSVM/src/test/resources/models/NU_SVC_RBF.model b/Classification/LibSVM/src/test/resources/models/NU_SVC_RBF.model
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diff --git a/Classification/LibSVM/src/test/resources/models/NU_SVC_RBF_multiclass.model b/Classification/LibSVM/src/test/resources/models/NU_SVC_RBF_multiclass.model
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diff --git a/Classification/LibSVM/src/test/resources/models/NU_SVC_SIGMOID.model b/Classification/LibSVM/src/test/resources/models/NU_SVC_SIGMOID.model
index 52e5494e1a249528145615150db2bc2dc59880a8..d3da7dca045a06221a38dc66d22e47731bcbeefd 100644
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diff --git a/Classification/LibSVM/src/test/resources/models/NU_SVC_SIGMOID_multiclass.model b/Classification/LibSVM/src/test/resources/models/NU_SVC_SIGMOID_multiclass.model
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diff --git a/Classification/XGBoost/src/test/java/org/tribuo/classification/xgboost/TestXGBoost.java b/Classification/XGBoost/src/test/java/org/tribuo/classification/xgboost/TestXGBoost.java
index 240315740..8abd566b1 100644
--- a/Classification/XGBoost/src/test/java/org/tribuo/classification/xgboost/TestXGBoost.java
+++ b/Classification/XGBoost/src/test/java/org/tribuo/classification/xgboost/TestXGBoost.java
@@ -152,7 +152,7 @@ private XGBoostModel<Label> loadModel(int numTrees, boolean multiclass) throws I
         return loadModel(modelPath);
     }
 
-    private XGBoostModel<Label> loadModel(String path) throws IOException, ClassNotFoundException {
+    private XGBoostModel<Label> loadModel(String path) throws IOException {
         URL modelFile = this.getClass().getResource(path);
         try (InputStream is = modelFile.openStream()) {
             @SuppressWarnings("unchecked") // checked by validate call.
diff --git a/Common/NearestNeighbour/src/test/resources/KNNTrainerRegressor_k3_L2_nt2_voting_streams_v4.2.model b/Common/NearestNeighbour/src/test/resources/KNNTrainerRegressor_k3_L2_nt2_voting_streams_v4.2.model
index 2fbc2757de3d134be2a1e5c675b0f55e395b478a..636ac5e1944a18ce7296a02a87eb72fdfe2ecccf 100644
GIT binary patch
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From 91001759e352ea90ab3dac58fd8d6d947e161e6d Mon Sep 17 00:00:00 2001
From: Adam Pocock <adam.pocock@oracle.com>
Date: Sun, 19 Feb 2023 22:10:37 -0500
Subject: [PATCH 7/9] Migrating XGBoost and Hdbscan test models to protobuf.

---
 .../XGBoost/src/test/resources/models/1.model | Bin 12570 -> 15800 bytes
 .../src/test/resources/models/10.model        | Bin 17251 -> 20483 bytes
 .../test/resources/models/10_multiclass.model | Bin 19827 -> 23023 bytes
 .../test/resources/models/1_multiclass.model  | Bin 12950 -> 16144 bytes
 .../XGBoost/src/test/resources/models/5.model | Bin 14650 -> 17882 bytes
 .../src/test/resources/models/50.model        | Bin 38051 -> 41284 bytes
 .../test/resources/models/50_multiclass.model | Bin 51027 -> 54224 bytes
 .../test/resources/models/5_multiclass.model  | Bin 15926 -> 19122 bytes
 .../Hdbscan_minClSize7_L2_k7_nt1_v4.2.model   | Bin 38297 -> 33199 bytes
 9 files changed, 0 insertions(+), 0 deletions(-)

diff --git a/Classification/XGBoost/src/test/resources/models/1.model b/Classification/XGBoost/src/test/resources/models/1.model
index a0165e78704d4b73b8763be7aa897f8ed8fd180b..1a64e8626f208219815ac6e2a424d7b368581b3e 100644
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diff --git a/Classification/XGBoost/src/test/resources/models/10_multiclass.model b/Classification/XGBoost/src/test/resources/models/10_multiclass.model
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diff --git a/Classification/XGBoost/src/test/resources/models/5.model b/Classification/XGBoost/src/test/resources/models/5.model
index c3656780c31a5a9a1996bf05896568b84334f594..2feb6f1ecbcbde9abdb717e9e6b87983c505e433 100644
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diff --git a/Classification/XGBoost/src/test/resources/models/50.model b/Classification/XGBoost/src/test/resources/models/50.model
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diff --git a/Classification/XGBoost/src/test/resources/models/50_multiclass.model b/Classification/XGBoost/src/test/resources/models/50_multiclass.model
index 37015b4fdd6e411d649e9e282c0cb283c13a43fa..44fc4d62c9c67a74f12917796211f54ee7896123 100644
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diff --git a/Classification/XGBoost/src/test/resources/models/5_multiclass.model b/Classification/XGBoost/src/test/resources/models/5_multiclass.model
index 71d9bc39bd7fa48bcc0b9e818ace2c0b9e2d3c9b..257f45d2cb7f0aa6cdf692450941127e36f58c4b 100644
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diff --git a/Clustering/Hdbscan/src/test/resources/Hdbscan_minClSize7_L2_k7_nt1_v4.2.model b/Clustering/Hdbscan/src/test/resources/Hdbscan_minClSize7_L2_k7_nt1_v4.2.model
index a05ecf7fb78c8323d9f416a8498cc8b6ff6b5011..9c4f8195ff604e1cec4c8e0c3e741a94127cdf97 100644
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From 3bc3d2b9ed4dd6ed84efe4aa4bb7e1ae67eb84a6 Mon Sep 17 00:00:00 2001
From: Adam Pocock <adam.pocock@oracle.com>
Date: Sun, 19 Feb 2023 23:41:31 -0500
Subject: [PATCH 8/9] Removing serialVersionUID.

---
 .../Core/src/main/java/org/tribuo/anomaly/AnomalyFactory.java | 1 -
 .../Core/src/main/java/org/tribuo/anomaly/AnomalyInfo.java    | 1 -
 .../Core/src/main/java/org/tribuo/anomaly/Event.java          | 1 -
 .../main/java/org/tribuo/anomaly/ImmutableAnomalyInfo.java    | 1 -
 .../src/main/java/org/tribuo/anomaly/MutableAnomalyInfo.java  | 1 -
 .../org/tribuo/anomaly/liblinear/LibLinearAnomalyModel.java   | 1 -
 .../java/org/tribuo/anomaly/libsvm/LibSVMAnomalyModel.java    | 1 -
 .../main/java/org/tribuo/anomaly/libsvm/SVMAnomalyType.java   | 1 -
 .../java/org/tribuo/classification/ImmutableLabelInfo.java    | 2 --
 .../Core/src/main/java/org/tribuo/classification/Label.java   | 1 -
 .../src/main/java/org/tribuo/classification/LabelFactory.java | 1 -
 .../src/main/java/org/tribuo/classification/LabelInfo.java    | 1 -
 .../main/java/org/tribuo/classification/MutableLabelInfo.java | 1 -
 .../tribuo/classification/baseline/DummyClassifierModel.java  | 1 -
 .../classification/ensemble/FullyWeightedVotingCombiner.java  | 1 -
 .../org/tribuo/classification/ensemble/VotingCombiner.java    | 1 -
 .../sequence/viterbi/DefaultFeatureExtractor.java             | 2 --
 .../classification/sequence/viterbi/NoopFeatureExtractor.java | 2 --
 .../tribuo/classification/sequence/viterbi/ViterbiModel.java  | 2 --
 .../classification/dtree/impl/ClassifierTrainingNode.java     | 1 -
 .../liblinear/LibLinearClassificationModel.java               | 1 -
 .../tribuo/classification/liblinear/TestLibLinearModel.java   | 1 -
 .../java/org/tribuo/classification/libsvm/TestLibSVM.java     | 1 -
 .../tribuo/classification/mnb/MultinomialNaiveBayesModel.java | 1 -
 .../main/java/org/tribuo/classification/sgd/crf/CRFModel.java | 1 -
 .../tribuo/classification/sgd/fm/FMClassificationModel.java   | 1 -
 .../org/tribuo/classification/sgd/kernel/KernelSVMModel.java  | 1 -
 .../org/tribuo/classification/sgd/linear/LinearSGDModel.java  | 1 -
 .../xgboost/XGBoostClassificationConverter.java               | 1 -
 .../Core/src/main/java/org/tribuo/clustering/ClusterID.java   | 1 -
 .../main/java/org/tribuo/clustering/ClusteringFactory.java    | 1 -
 .../src/main/java/org/tribuo/clustering/ClusteringInfo.java   | 1 -
 .../java/org/tribuo/clustering/ImmutableClusteringInfo.java   | 1 -
 .../java/org/tribuo/clustering/MutableClusteringInfo.java     | 1 -
 .../main/java/org/tribuo/clustering/hdbscan/HdbscanModel.java | 1 -
 .../main/java/org/tribuo/clustering/kmeans/KMeansModel.java   | 1 -
 .../main/java/org/tribuo/common/liblinear/LibLinearModel.java | 1 -
 .../src/main/java/org/tribuo/common/nearest/KNNModel.java     | 2 --
 .../src/main/java/org/tribuo/common/sgd/AbstractFMModel.java  | 1 -
 .../java/org/tribuo/common/sgd/AbstractLinearSGDModel.java    | 1 -
 .../src/main/java/org/tribuo/common/sgd/AbstractSGDModel.java | 1 -
 .../SGD/src/main/java/org/tribuo/common/sgd/FMParameters.java | 1 -
 .../Trees/src/main/java/org/tribuo/common/tree/TreeModel.java | 1 -
 .../java/org/tribuo/common/xgboost/XGBoostExternalModel.java  | 1 -
 .../src/main/java/org/tribuo/common/xgboost/XGBoostModel.java | 1 -
 .../src/test/java/org/tribuo/common/xgboost/TestXGBoost.java  | 1 -
 Core/src/main/java/org/tribuo/dataset/DatasetView.java        | 1 -
 .../java/org/tribuo/dataset/MinimumCardinalityDataset.java    | 1 -
 .../main/java/org/tribuo/dataset/SelectedFeatureDataset.java  | 1 -
 Core/src/main/java/org/tribuo/ensemble/EnsembleModel.java     | 1 -
 .../main/java/org/tribuo/ensemble/WeightedEnsembleModel.java  | 1 -
 Core/src/main/java/org/tribuo/hash/HashCodeHasher.java        | 1 -
 Core/src/main/java/org/tribuo/hash/HashedFeatureMap.java      | 1 -
 Core/src/main/java/org/tribuo/hash/MessageDigestHasher.java   | 1 -
 Core/src/main/java/org/tribuo/hash/ModHashCodeHasher.java     | 1 -
 Core/src/main/java/org/tribuo/impl/ArrayExample.java          | 1 -
 Core/src/main/java/org/tribuo/impl/BinaryFeaturesExample.java | 1 -
 Core/src/main/java/org/tribuo/impl/IndexedArrayExample.java   | 1 -
 Core/src/main/java/org/tribuo/sequence/SequenceDataset.java   | 2 --
 Core/src/main/java/org/tribuo/transform/TransformedModel.java | 1 -
 .../transform/transformations/BinningTransformation.java      | 1 -
 .../tribuo/transform/transformations/IDFTransformation.java   | 1 -
 .../transformations/LinearScalingTransformation.java          | 1 -
 .../transform/transformations/MeanStdDevTransformation.java   | 1 -
 .../org/tribuo/transform/transformations/SimpleTransform.java | 1 -
 .../main/java/org/tribuo/util/MeanVarianceAccumulator.java    | 1 -
 Core/src/test/java/org/tribuo/test/MockMultiOutput.java       | 2 --
 .../src/test/java/org/tribuo/test/MockMultiOutputFactory.java | 2 --
 Core/src/test/java/org/tribuo/test/MockOutput.java            | 1 -
 .../main/java/org/tribuo/data/columnar/ColumnarFeature.java   | 1 -
 .../Core/src/main/java/org/tribuo/interop/ExternalModel.java  | 1 -
 .../main/java/org/tribuo/interop/oci/OCILabelConverter.java   | 1 -
 .../OCI/src/main/java/org/tribuo/interop/oci/OCIModel.java    | 1 -
 .../java/org/tribuo/interop/oci/OCIMultiLabelConverter.java   | 1 -
 .../java/org/tribuo/interop/oci/OCIRegressorConverter.java    | 1 -
 .../main/java/org/tribuo/interop/onnx/DenseTransformer.java   | 1 -
 .../main/java/org/tribuo/interop/onnx/ImageTransformer.java   | 1 -
 .../java/org/tribuo/interop/onnx/LabelOneVOneTransformer.java | 1 -
 .../main/java/org/tribuo/interop/onnx/LabelTransformer.java   | 1 -
 .../java/org/tribuo/interop/onnx/MultiLabelTransformer.java   | 1 -
 .../main/java/org/tribuo/interop/onnx/ONNXExternalModel.java  | 1 -
 .../java/org/tribuo/interop/onnx/RegressorTransformer.java    | 1 -
 .../org/tribuo/interop/tensorflow/DenseFeatureConverter.java  | 1 -
 .../java/org/tribuo/interop/tensorflow/ImageConverter.java    | 1 -
 .../java/org/tribuo/interop/tensorflow/LabelConverter.java    | 1 -
 .../org/tribuo/interop/tensorflow/MultiLabelConverter.java    | 1 -
 .../org/tribuo/interop/tensorflow/RegressorConverter.java     | 1 -
 .../tribuo/interop/tensorflow/TensorFlowCheckpointModel.java  | 4 ----
 .../interop/tensorflow/TensorFlowFrozenExternalModel.java     | 3 ---
 .../java/org/tribuo/interop/tensorflow/TensorFlowModel.java   | 1 -
 .../org/tribuo/interop/tensorflow/TensorFlowNativeModel.java  | 3 ---
 .../interop/tensorflow/TensorFlowSavedModelExternalModel.java | 3 ---
 .../interop/tensorflow/sequence/TensorFlowSequenceModel.java  | 2 --
 Math/src/main/java/org/tribuo/math/LinearParameters.java      | 1 -
 .../main/java/org/tribuo/math/distance/CosineDistance.java    | 1 -
 Math/src/main/java/org/tribuo/math/distance/L1Distance.java   | 1 -
 Math/src/main/java/org/tribuo/math/distance/L2Distance.java   | 1 -
 Math/src/main/java/org/tribuo/math/kernel/Linear.java         | 1 -
 Math/src/main/java/org/tribuo/math/kernel/Polynomial.java     | 1 -
 Math/src/main/java/org/tribuo/math/kernel/RBF.java            | 1 -
 Math/src/main/java/org/tribuo/math/kernel/Sigmoid.java        | 1 -
 Math/src/main/java/org/tribuo/math/la/DenseMatrix.java        | 1 -
 Math/src/main/java/org/tribuo/math/la/DenseSparseMatrix.java  | 1 -
 Math/src/main/java/org/tribuo/math/la/DenseVector.java        | 1 -
 Math/src/main/java/org/tribuo/math/la/SparseVector.java       | 1 -
 .../neighbour/bruteforce/NeighboursBruteForceFactory.java     | 1 -
 .../java/org/tribuo/math/neighbour/kdtree/KDTreeFactory.java  | 1 -
 Math/src/main/java/org/tribuo/math/util/HeapMerger.java       | 1 -
 Math/src/main/java/org/tribuo/math/util/MatrixHeapMerger.java | 1 -
 Math/src/main/java/org/tribuo/math/util/Normalizer.java       | 1 -
 .../java/org/tribuo/multilabel/ImmutableMultiLabelInfo.java   | 2 --
 .../Core/src/main/java/org/tribuo/multilabel/MultiLabel.java  | 1 -
 .../main/java/org/tribuo/multilabel/MultiLabelFactory.java    | 1 -
 .../src/main/java/org/tribuo/multilabel/MultiLabelInfo.java   | 1 -
 .../java/org/tribuo/multilabel/MutableMultiLabelInfo.java     | 1 -
 .../org/tribuo/multilabel/baseline/ClassifierChainModel.java  | 1 -
 .../multilabel/baseline/IndependentMultiLabelModel.java       | 1 -
 .../tribuo/multilabel/ensemble/MultiLabelVotingCombiner.java  | 1 -
 .../java/org/tribuo/multilabel/sgd/fm/FMMultiLabelModel.java  | 1 -
 .../java/org/tribuo/multilabel/sgd/linear/LinearSGDModel.java | 1 -
 .../java/org/tribuo/regression/ImmutableRegressionInfo.java   | 2 --
 .../java/org/tribuo/regression/MutableRegressionInfo.java     | 1 -
 .../main/java/org/tribuo/regression/RegressionFactory.java    | 1 -
 .../src/main/java/org/tribuo/regression/RegressionInfo.java   | 1 -
 .../Core/src/main/java/org/tribuo/regression/Regressor.java   | 2 --
 .../org/tribuo/regression/baseline/DummyRegressionModel.java  | 1 -
 .../org/tribuo/regression/ensemble/AveragingCombiner.java     | 1 -
 .../regression/impl/SkeletalIndependentRegressionModel.java   | 1 -
 .../impl/SkeletalIndependentRegressionSparseModel.java        | 1 -
 .../tribuo/regression/liblinear/LibLinearRegressionModel.java | 1 -
 .../org/tribuo/regression/libsvm/LibSVMRegressionModel.java   | 1 -
 .../java/org/tribuo/regression/libsvm/SVMRegressionType.java  | 1 -
 .../regression/rtree/IndependentRegressionTreeModel.java      | 1 -
 .../regression/rtree/impl/JointRegressorTrainingNode.java     | 1 -
 .../tribuo/regression/rtree/impl/RegressorTrainingNode.java   | 1 -
 .../java/org/tribuo/regression/sgd/fm/FMRegressionModel.java  | 1 -
 .../java/org/tribuo/regression/sgd/linear/LinearSGDModel.java | 1 -
 .../java/org/tribuo/regression/slm/SparseLinearModel.java     | 1 -
 .../tribuo/regression/xgboost/XGBoostRegressionConverter.java | 1 -
 139 files changed, 160 deletions(-)

diff --git a/AnomalyDetection/Core/src/main/java/org/tribuo/anomaly/AnomalyFactory.java b/AnomalyDetection/Core/src/main/java/org/tribuo/anomaly/AnomalyFactory.java
index 6133e689f..e76cc67f4 100644
--- a/AnomalyDetection/Core/src/main/java/org/tribuo/anomaly/AnomalyFactory.java
+++ b/AnomalyDetection/Core/src/main/java/org/tribuo/anomaly/AnomalyFactory.java
@@ -35,7 +35,6 @@
  * A factory for generating events.
  */
 public final class AnomalyFactory implements OutputFactory<Event> {
-    private static final long serialVersionUID = 1L;
 
     /**
      * The unknown event. Used at inference time.
diff --git a/AnomalyDetection/Core/src/main/java/org/tribuo/anomaly/AnomalyInfo.java b/AnomalyDetection/Core/src/main/java/org/tribuo/anomaly/AnomalyInfo.java
index 085439c17..48422f29b 100644
--- a/AnomalyDetection/Core/src/main/java/org/tribuo/anomaly/AnomalyInfo.java
+++ b/AnomalyDetection/Core/src/main/java/org/tribuo/anomaly/AnomalyInfo.java
@@ -36,7 +36,6 @@
  * The base class for tracking anomalous events.
  */
 public abstract class AnomalyInfo implements OutputInfo<Event>  {
-    private static final long serialVersionUID = 1L;
 
     private static final Set<Event> DOMAIN = makeDomain();
 
diff --git a/AnomalyDetection/Core/src/main/java/org/tribuo/anomaly/Event.java b/AnomalyDetection/Core/src/main/java/org/tribuo/anomaly/Event.java
index 3036fd3a0..b8713cc12 100644
--- a/AnomalyDetection/Core/src/main/java/org/tribuo/anomaly/Event.java
+++ b/AnomalyDetection/Core/src/main/java/org/tribuo/anomaly/Event.java
@@ -33,7 +33,6 @@
  * do support training from anomalous and expected data.
  */
 public final class Event implements Output<Event> {
-    private static final long serialVersionUID = 1L;
 
     /**
      * The default score of events.
diff --git a/AnomalyDetection/Core/src/main/java/org/tribuo/anomaly/ImmutableAnomalyInfo.java b/AnomalyDetection/Core/src/main/java/org/tribuo/anomaly/ImmutableAnomalyInfo.java
index 7b86340ec..d69b4e7a1 100644
--- a/AnomalyDetection/Core/src/main/java/org/tribuo/anomaly/ImmutableAnomalyInfo.java
+++ b/AnomalyDetection/Core/src/main/java/org/tribuo/anomaly/ImmutableAnomalyInfo.java
@@ -37,7 +37,6 @@
  */
 @ProtoSerializableClass(serializedDataClass=AnomalyInfoProto.class, version=0)
 public final class ImmutableAnomalyInfo extends AnomalyInfo implements ImmutableOutputInfo<Event> {
-    private static final long serialVersionUID = 1L;
 
     private static final Logger logger = Logger.getLogger(ImmutableAnomalyInfo.class.getName());
 
diff --git a/AnomalyDetection/Core/src/main/java/org/tribuo/anomaly/MutableAnomalyInfo.java b/AnomalyDetection/Core/src/main/java/org/tribuo/anomaly/MutableAnomalyInfo.java
index 64e62c257..0fdbd625f 100644
--- a/AnomalyDetection/Core/src/main/java/org/tribuo/anomaly/MutableAnomalyInfo.java
+++ b/AnomalyDetection/Core/src/main/java/org/tribuo/anomaly/MutableAnomalyInfo.java
@@ -35,7 +35,6 @@
  */
 @ProtoSerializableClass(serializedDataClass=AnomalyInfoProto.class, version=0)
 public final class MutableAnomalyInfo extends AnomalyInfo implements MutableOutputInfo<Event> {
-    private static final long serialVersionUID = 1L;
 
     MutableAnomalyInfo() {
         super();
diff --git a/AnomalyDetection/LibLinear/src/main/java/org/tribuo/anomaly/liblinear/LibLinearAnomalyModel.java b/AnomalyDetection/LibLinear/src/main/java/org/tribuo/anomaly/liblinear/LibLinearAnomalyModel.java
index 5a3482254..f81eb8094 100644
--- a/AnomalyDetection/LibLinear/src/main/java/org/tribuo/anomaly/liblinear/LibLinearAnomalyModel.java
+++ b/AnomalyDetection/LibLinear/src/main/java/org/tribuo/anomaly/liblinear/LibLinearAnomalyModel.java
@@ -66,7 +66,6 @@
  * </pre>
  */
 public class LibLinearAnomalyModel extends LibLinearModel<Event> {
-    private static final long serialVersionUID = 3L;
 
     private static final Logger logger = Logger.getLogger(LibLinearAnomalyModel.class.getName());
 
diff --git a/AnomalyDetection/LibSVM/src/main/java/org/tribuo/anomaly/libsvm/LibSVMAnomalyModel.java b/AnomalyDetection/LibSVM/src/main/java/org/tribuo/anomaly/libsvm/LibSVMAnomalyModel.java
index cb4d5dcd9..b31a13ba8 100644
--- a/AnomalyDetection/LibSVM/src/main/java/org/tribuo/anomaly/libsvm/LibSVMAnomalyModel.java
+++ b/AnomalyDetection/LibSVM/src/main/java/org/tribuo/anomaly/libsvm/LibSVMAnomalyModel.java
@@ -55,7 +55,6 @@
  * </pre>
  */
 public class LibSVMAnomalyModel extends LibSVMModel<Event> {
-    private static final long serialVersionUID = 1L;
 
     /**
      * Protobuf serialization version.
diff --git a/AnomalyDetection/LibSVM/src/main/java/org/tribuo/anomaly/libsvm/SVMAnomalyType.java b/AnomalyDetection/LibSVM/src/main/java/org/tribuo/anomaly/libsvm/SVMAnomalyType.java
index e80261470..248fd0f81 100644
--- a/AnomalyDetection/LibSVM/src/main/java/org/tribuo/anomaly/libsvm/SVMAnomalyType.java
+++ b/AnomalyDetection/LibSVM/src/main/java/org/tribuo/anomaly/libsvm/SVMAnomalyType.java
@@ -28,7 +28,6 @@
  * Supports ONE_CLASS. Yes it's a single value enum.
  */
 public class SVMAnomalyType implements SVMType<Event> {
-    private static final long serialVersionUID = 1L;
 
     /**
      * Valid SVM modes for anomaly detection.
diff --git a/Classification/Core/src/main/java/org/tribuo/classification/ImmutableLabelInfo.java b/Classification/Core/src/main/java/org/tribuo/classification/ImmutableLabelInfo.java
index 06f52ecab..3d6b6b0f6 100644
--- a/Classification/Core/src/main/java/org/tribuo/classification/ImmutableLabelInfo.java
+++ b/Classification/Core/src/main/java/org/tribuo/classification/ImmutableLabelInfo.java
@@ -44,8 +44,6 @@
 public class ImmutableLabelInfo extends LabelInfo implements ImmutableOutputInfo<Label> {
     private static final Logger logger = Logger.getLogger(ImmutableLabelInfo.class.getName());
 
-    private static final long serialVersionUID = 1L;
-
     private final Map<Integer,String> idLabelMap;
 
     private final Map<String,Integer> labelIDMap;
diff --git a/Classification/Core/src/main/java/org/tribuo/classification/Label.java b/Classification/Core/src/main/java/org/tribuo/classification/Label.java
index 9766e8f90..e0002d3db 100644
--- a/Classification/Core/src/main/java/org/tribuo/classification/Label.java
+++ b/Classification/Core/src/main/java/org/tribuo/classification/Label.java
@@ -37,7 +37,6 @@
  */
 @ProtoSerializableClass(serializedDataClass=LabelProto.class, version=0)
 public final class Label implements Classifiable<Label> {
-    private static final long serialVersionUID = 1L;
 
     /**
      * The name of the unknown label (i.e., an unlabelled output).
diff --git a/Classification/Core/src/main/java/org/tribuo/classification/LabelFactory.java b/Classification/Core/src/main/java/org/tribuo/classification/LabelFactory.java
index 634469d88..8300f20c2 100644
--- a/Classification/Core/src/main/java/org/tribuo/classification/LabelFactory.java
+++ b/Classification/Core/src/main/java/org/tribuo/classification/LabelFactory.java
@@ -38,7 +38,6 @@
  * Label factories have no state, and are all equal to each other.
  */
 public final class LabelFactory implements OutputFactory<Label> {
-    private static final long serialVersionUID = 1L;
 
     /**
      * The singleton unknown label, used for unlablled examples.
diff --git a/Classification/Core/src/main/java/org/tribuo/classification/LabelInfo.java b/Classification/Core/src/main/java/org/tribuo/classification/LabelInfo.java
index 99aff632a..896c87ffb 100644
--- a/Classification/Core/src/main/java/org/tribuo/classification/LabelInfo.java
+++ b/Classification/Core/src/main/java/org/tribuo/classification/LabelInfo.java
@@ -36,7 +36,6 @@
  * The base class for information about multi-class classification Labels.
  */
 public abstract class LabelInfo implements OutputInfo<Label> {
-    private static final long serialVersionUID = 1L;
 
     /**
      * The occurrence counts of each label.
diff --git a/Classification/Core/src/main/java/org/tribuo/classification/MutableLabelInfo.java b/Classification/Core/src/main/java/org/tribuo/classification/MutableLabelInfo.java
index 8684b2f58..d3ad363a6 100644
--- a/Classification/Core/src/main/java/org/tribuo/classification/MutableLabelInfo.java
+++ b/Classification/Core/src/main/java/org/tribuo/classification/MutableLabelInfo.java
@@ -35,7 +35,6 @@
  */
 @ProtoSerializableClass(serializedDataClass=MutableLabelInfoProto.class, version=0)
 public class MutableLabelInfo extends LabelInfo implements MutableOutputInfo<Label> {
-    private static final long serialVersionUID = 1L;
 
     MutableLabelInfo() {
         super();
diff --git a/Classification/Core/src/main/java/org/tribuo/classification/baseline/DummyClassifierModel.java b/Classification/Core/src/main/java/org/tribuo/classification/baseline/DummyClassifierModel.java
index 1510b7573..ed52d29a7 100644
--- a/Classification/Core/src/main/java/org/tribuo/classification/baseline/DummyClassifierModel.java
+++ b/Classification/Core/src/main/java/org/tribuo/classification/baseline/DummyClassifierModel.java
@@ -51,7 +51,6 @@
  * A model which performs dummy classifications (e.g., constant output, uniform sampled labels, stratified sampled labels).
  */
 public class DummyClassifierModel extends Model<Label> {
-    private static final long serialVersionUID = 1L;
 
     /**
      * Protobuf serialization version.
diff --git a/Classification/Core/src/main/java/org/tribuo/classification/ensemble/FullyWeightedVotingCombiner.java b/Classification/Core/src/main/java/org/tribuo/classification/ensemble/FullyWeightedVotingCombiner.java
index adf84f018..8d0d06767 100644
--- a/Classification/Core/src/main/java/org/tribuo/classification/ensemble/FullyWeightedVotingCombiner.java
+++ b/Classification/Core/src/main/java/org/tribuo/classification/ensemble/FullyWeightedVotingCombiner.java
@@ -44,7 +44,6 @@
  * which uses the most likely prediction for each ensemble member.
  */
 public final class FullyWeightedVotingCombiner implements EnsembleCombiner<Label> {
-    private static final long serialVersionUID = 1L;
 
     /**
      * Protobuf serialization version.
diff --git a/Classification/Core/src/main/java/org/tribuo/classification/ensemble/VotingCombiner.java b/Classification/Core/src/main/java/org/tribuo/classification/ensemble/VotingCombiner.java
index d0b5e7913..606aa00c8 100644
--- a/Classification/Core/src/main/java/org/tribuo/classification/ensemble/VotingCombiner.java
+++ b/Classification/Core/src/main/java/org/tribuo/classification/ensemble/VotingCombiner.java
@@ -44,7 +44,6 @@
  * which uses the full distribution of predictions for each ensemble member.
  */
 public final class VotingCombiner implements EnsembleCombiner<Label> {
-    private static final long serialVersionUID = 1L;
 
     /**
      * Protobuf serialization version.
diff --git a/Classification/Core/src/main/java/org/tribuo/classification/sequence/viterbi/DefaultFeatureExtractor.java b/Classification/Core/src/main/java/org/tribuo/classification/sequence/viterbi/DefaultFeatureExtractor.java
index 5a986dc20..124756d19 100644
--- a/Classification/Core/src/main/java/org/tribuo/classification/sequence/viterbi/DefaultFeatureExtractor.java
+++ b/Classification/Core/src/main/java/org/tribuo/classification/sequence/viterbi/DefaultFeatureExtractor.java
@@ -41,8 +41,6 @@
 @ProtoSerializableClass(serializedDataClass = DefaultFeatureExtractorProto.class, version = DefaultFeatureExtractor.CURRENT_VERSION)
 public class DefaultFeatureExtractor implements LabelFeatureExtractor {
 
-    private static final long serialVersionUID = 1L;
-
     /**
      * Protobuf serialization version.
      */
diff --git a/Classification/Core/src/main/java/org/tribuo/classification/sequence/viterbi/NoopFeatureExtractor.java b/Classification/Core/src/main/java/org/tribuo/classification/sequence/viterbi/NoopFeatureExtractor.java
index 1729ec610..a23643568 100644
--- a/Classification/Core/src/main/java/org/tribuo/classification/sequence/viterbi/NoopFeatureExtractor.java
+++ b/Classification/Core/src/main/java/org/tribuo/classification/sequence/viterbi/NoopFeatureExtractor.java
@@ -37,8 +37,6 @@
 @ProtoSerializableClass(version = NoopFeatureExtractor.CURRENT_VERSION)
 public class NoopFeatureExtractor implements LabelFeatureExtractor {
 
-    private static final long serialVersionUID = 1L;
-
     /**
      * Protobuf serialization version.
      */
diff --git a/Classification/Core/src/main/java/org/tribuo/classification/sequence/viterbi/ViterbiModel.java b/Classification/Core/src/main/java/org/tribuo/classification/sequence/viterbi/ViterbiModel.java
index 92fda6546..98820e6eb 100644
--- a/Classification/Core/src/main/java/org/tribuo/classification/sequence/viterbi/ViterbiModel.java
+++ b/Classification/Core/src/main/java/org/tribuo/classification/sequence/viterbi/ViterbiModel.java
@@ -47,8 +47,6 @@
  */
 public class ViterbiModel extends SequenceModel<Label> {
 
-    private static final long serialVersionUID = 1L;
-
     /**
      * Protobuf serialization version.
      */
diff --git a/Classification/DecisionTree/src/main/java/org/tribuo/classification/dtree/impl/ClassifierTrainingNode.java b/Classification/DecisionTree/src/main/java/org/tribuo/classification/dtree/impl/ClassifierTrainingNode.java
index cceca0d2f..b813d9fb1 100644
--- a/Classification/DecisionTree/src/main/java/org/tribuo/classification/dtree/impl/ClassifierTrainingNode.java
+++ b/Classification/DecisionTree/src/main/java/org/tribuo/classification/dtree/impl/ClassifierTrainingNode.java
@@ -49,7 +49,6 @@
  * the current impurity and a bunch of other statistics.
  */
 public class ClassifierTrainingNode extends AbstractTrainingNode<Label> {
-    private static final long serialVersionUID = 1L;
 
     private static final Logger logger = Logger.getLogger(ClassifierTrainingNode.class.getName());
 
diff --git a/Classification/LibLinear/src/main/java/org/tribuo/classification/liblinear/LibLinearClassificationModel.java b/Classification/LibLinear/src/main/java/org/tribuo/classification/liblinear/LibLinearClassificationModel.java
index 2def07fe9..8f885e880 100644
--- a/Classification/LibLinear/src/main/java/org/tribuo/classification/liblinear/LibLinearClassificationModel.java
+++ b/Classification/LibLinear/src/main/java/org/tribuo/classification/liblinear/LibLinearClassificationModel.java
@@ -78,7 +78,6 @@
  * </pre>
  */
 public class LibLinearClassificationModel extends LibLinearModel<Label> implements ONNXExportable {
-    private static final long serialVersionUID = 3L;
 
     private static final Logger logger = Logger.getLogger(LibLinearClassificationModel.class.getName());
 
diff --git a/Classification/LibLinear/src/test/java/org/tribuo/classification/liblinear/TestLibLinearModel.java b/Classification/LibLinear/src/test/java/org/tribuo/classification/liblinear/TestLibLinearModel.java
index af897462b..ead0dbb50 100644
--- a/Classification/LibLinear/src/test/java/org/tribuo/classification/liblinear/TestLibLinearModel.java
+++ b/Classification/LibLinear/src/test/java/org/tribuo/classification/liblinear/TestLibLinearModel.java
@@ -351,7 +351,6 @@ private static Example<Label> generateExample(String[] names, double[] values) {
     }
 
     private static class TestMap extends ImmutableFeatureMap {
-        private static final long serialVersionUID = 1L;
         public TestMap() {
             super();
             CategoricalIDInfo foo = (new CategoricalInfo("FOO")).makeIDInfo(0);
diff --git a/Classification/LibSVM/src/test/java/org/tribuo/classification/libsvm/TestLibSVM.java b/Classification/LibSVM/src/test/java/org/tribuo/classification/libsvm/TestLibSVM.java
index dbda69ac2..d23642a70 100644
--- a/Classification/LibSVM/src/test/java/org/tribuo/classification/libsvm/TestLibSVM.java
+++ b/Classification/LibSVM/src/test/java/org/tribuo/classification/libsvm/TestLibSVM.java
@@ -418,7 +418,6 @@ private static Example<Label> generateExample(String[] names, double[] values) {
     }
 
     private static class TestMap extends ImmutableFeatureMap {
-        private static final long serialVersionUID = 1L;
 
         public TestMap() {
             super();
diff --git a/Classification/MultinomialNaiveBayes/src/main/java/org/tribuo/classification/mnb/MultinomialNaiveBayesModel.java b/Classification/MultinomialNaiveBayes/src/main/java/org/tribuo/classification/mnb/MultinomialNaiveBayesModel.java
index bb18dea37..56da6b14d 100644
--- a/Classification/MultinomialNaiveBayes/src/main/java/org/tribuo/classification/mnb/MultinomialNaiveBayesModel.java
+++ b/Classification/MultinomialNaiveBayes/src/main/java/org/tribuo/classification/mnb/MultinomialNaiveBayesModel.java
@@ -60,7 +60,6 @@
  * </pre>
  */
 public class MultinomialNaiveBayesModel extends Model<Label> {
-    private static final long serialVersionUID = 1L;
 
     /**
      * Protobuf serialization version.
diff --git a/Classification/SGD/src/main/java/org/tribuo/classification/sgd/crf/CRFModel.java b/Classification/SGD/src/main/java/org/tribuo/classification/sgd/crf/CRFModel.java
index 760e5ed8d..6c617b35f 100644
--- a/Classification/SGD/src/main/java/org/tribuo/classification/sgd/crf/CRFModel.java
+++ b/Classification/SGD/src/main/java/org/tribuo/classification/sgd/crf/CRFModel.java
@@ -63,7 +63,6 @@
  */
 public class CRFModel extends ConfidencePredictingSequenceModel {
     private static final Logger logger = Logger.getLogger(CRFModel.class.getName());
-    private static final long serialVersionUID = 2L;
 
     /**
      * Protobuf serialization version.
diff --git a/Classification/SGD/src/main/java/org/tribuo/classification/sgd/fm/FMClassificationModel.java b/Classification/SGD/src/main/java/org/tribuo/classification/sgd/fm/FMClassificationModel.java
index 655f3a020..2e44bb9ec 100644
--- a/Classification/SGD/src/main/java/org/tribuo/classification/sgd/fm/FMClassificationModel.java
+++ b/Classification/SGD/src/main/java/org/tribuo/classification/sgd/fm/FMClassificationModel.java
@@ -49,7 +49,6 @@
  * </pre>
  */
 public class FMClassificationModel extends AbstractFMModel<Label> implements ONNXExportable {
-    private static final long serialVersionUID = 1L;
 
     /**
      * Protobuf serialization version.
diff --git a/Classification/SGD/src/main/java/org/tribuo/classification/sgd/kernel/KernelSVMModel.java b/Classification/SGD/src/main/java/org/tribuo/classification/sgd/kernel/KernelSVMModel.java
index 86df01303..5141fae27 100644
--- a/Classification/SGD/src/main/java/org/tribuo/classification/sgd/kernel/KernelSVMModel.java
+++ b/Classification/SGD/src/main/java/org/tribuo/classification/sgd/kernel/KernelSVMModel.java
@@ -54,7 +54,6 @@
  * </pre>
  */
 public class KernelSVMModel extends Model<Label> {
-    private static final long serialVersionUID = 2L;
 
     /**
      * Protobuf serialization version.
diff --git a/Classification/SGD/src/main/java/org/tribuo/classification/sgd/linear/LinearSGDModel.java b/Classification/SGD/src/main/java/org/tribuo/classification/sgd/linear/LinearSGDModel.java
index 56ef277c2..d39971880 100644
--- a/Classification/SGD/src/main/java/org/tribuo/classification/sgd/linear/LinearSGDModel.java
+++ b/Classification/SGD/src/main/java/org/tribuo/classification/sgd/linear/LinearSGDModel.java
@@ -51,7 +51,6 @@
  * </pre>
  */
 public class LinearSGDModel extends AbstractLinearSGDModel<Label> implements ONNXExportable {
-    private static final long serialVersionUID = 2L;
 
     /**
      * Protobuf serialization version.
diff --git a/Classification/XGBoost/src/main/java/org/tribuo/classification/xgboost/XGBoostClassificationConverter.java b/Classification/XGBoost/src/main/java/org/tribuo/classification/xgboost/XGBoostClassificationConverter.java
index 2f64ccb19..466f1365a 100644
--- a/Classification/XGBoost/src/main/java/org/tribuo/classification/xgboost/XGBoostClassificationConverter.java
+++ b/Classification/XGBoost/src/main/java/org/tribuo/classification/xgboost/XGBoostClassificationConverter.java
@@ -36,7 +36,6 @@
  */
 @ProtoSerializableClass(version = XGBoostClassificationConverter.CURRENT_VERSION)
 public final class XGBoostClassificationConverter implements XGBoostOutputConverter<Label> {
-    private static final long serialVersionUID = 1L;
 
     /**
      * Protobuf serialization version.
diff --git a/Clustering/Core/src/main/java/org/tribuo/clustering/ClusterID.java b/Clustering/Core/src/main/java/org/tribuo/clustering/ClusterID.java
index 36885bed0..5b3bafd18 100644
--- a/Clustering/Core/src/main/java/org/tribuo/clustering/ClusterID.java
+++ b/Clustering/Core/src/main/java/org/tribuo/clustering/ClusterID.java
@@ -40,7 +40,6 @@
  */
 @ProtoSerializableClass(serializedDataClass = ClusterIDProto.class, version = 0)
 public class ClusterID implements Output<ClusterID> {
-    private static final long serialVersionUID = 1L;
 
     /**
      * The sentinel unassigned cluster ID.
diff --git a/Clustering/Core/src/main/java/org/tribuo/clustering/ClusteringFactory.java b/Clustering/Core/src/main/java/org/tribuo/clustering/ClusteringFactory.java
index 2bbf3f2aa..7eaff0ad7 100644
--- a/Clustering/Core/src/main/java/org/tribuo/clustering/ClusteringFactory.java
+++ b/Clustering/Core/src/main/java/org/tribuo/clustering/ClusteringFactory.java
@@ -38,7 +38,6 @@
  * Parses the ClusterID by calling toString on the input then parsing it as an int.
  */
 public final class ClusteringFactory implements OutputFactory<ClusterID> {
-    private static final long serialVersionUID = 1L;
 
     /**
      * The sentinel unassigned cluster id, used when there is no ground truth clustering.
diff --git a/Clustering/Core/src/main/java/org/tribuo/clustering/ClusteringInfo.java b/Clustering/Core/src/main/java/org/tribuo/clustering/ClusteringInfo.java
index ee65c2b22..bb41587a3 100644
--- a/Clustering/Core/src/main/java/org/tribuo/clustering/ClusteringInfo.java
+++ b/Clustering/Core/src/main/java/org/tribuo/clustering/ClusteringInfo.java
@@ -38,7 +38,6 @@
  * The base class for a ClusterID OutputInfo.
  */
 public abstract class ClusteringInfo implements OutputInfo<ClusterID> {
-    private static final long serialVersionUID = 1L;
 
     /**
      * The cluster counts for each id.
diff --git a/Clustering/Core/src/main/java/org/tribuo/clustering/ImmutableClusteringInfo.java b/Clustering/Core/src/main/java/org/tribuo/clustering/ImmutableClusteringInfo.java
index f935e5527..901db5c07 100644
--- a/Clustering/Core/src/main/java/org/tribuo/clustering/ImmutableClusteringInfo.java
+++ b/Clustering/Core/src/main/java/org/tribuo/clustering/ImmutableClusteringInfo.java
@@ -40,7 +40,6 @@
  */
 @ProtoSerializableClass(serializedDataClass = ClusteringInfoProto.class, version = 0)
 public class ImmutableClusteringInfo extends ClusteringInfo implements ImmutableOutputInfo<ClusterID> {
-    private static final long serialVersionUID = 1L;
 
     private final Set<ClusterID> domain;
 
diff --git a/Clustering/Core/src/main/java/org/tribuo/clustering/MutableClusteringInfo.java b/Clustering/Core/src/main/java/org/tribuo/clustering/MutableClusteringInfo.java
index bfd2934a2..ddce86a68 100644
--- a/Clustering/Core/src/main/java/org/tribuo/clustering/MutableClusteringInfo.java
+++ b/Clustering/Core/src/main/java/org/tribuo/clustering/MutableClusteringInfo.java
@@ -32,7 +32,6 @@
  */
 @ProtoSerializableClass(serializedDataClass = ClusteringInfoProto.class, version = 0)
 public class MutableClusteringInfo extends ClusteringInfo implements MutableOutputInfo<ClusterID> {
-    private static final long serialVersionUID = 1L;
 
     MutableClusteringInfo() {
         super();
diff --git a/Clustering/Hdbscan/src/main/java/org/tribuo/clustering/hdbscan/HdbscanModel.java b/Clustering/Hdbscan/src/main/java/org/tribuo/clustering/hdbscan/HdbscanModel.java
index 44773b3a9..d7696dd50 100644
--- a/Clustering/Hdbscan/src/main/java/org/tribuo/clustering/hdbscan/HdbscanModel.java
+++ b/Clustering/Hdbscan/src/main/java/org/tribuo/clustering/hdbscan/HdbscanModel.java
@@ -62,7 +62,6 @@
  * </pre>
  */
 public final class HdbscanModel extends Model<ClusterID> {
-    private static final long serialVersionUID = 1L;
 
     /**
      * Protobuf serialization version.
diff --git a/Clustering/KMeans/src/main/java/org/tribuo/clustering/kmeans/KMeansModel.java b/Clustering/KMeans/src/main/java/org/tribuo/clustering/kmeans/KMeansModel.java
index 335d041eb..53a4a71c2 100644
--- a/Clustering/KMeans/src/main/java/org/tribuo/clustering/kmeans/KMeansModel.java
+++ b/Clustering/KMeans/src/main/java/org/tribuo/clustering/kmeans/KMeansModel.java
@@ -62,7 +62,6 @@
  * </pre>
  */
 public class KMeansModel extends Model<ClusterID> {
-    private static final long serialVersionUID = 1L;
 
     /**
      * Protobuf serialization version.
diff --git a/Common/LibLinear/src/main/java/org/tribuo/common/liblinear/LibLinearModel.java b/Common/LibLinear/src/main/java/org/tribuo/common/liblinear/LibLinearModel.java
index 3205c08bc..d08dab3d3 100644
--- a/Common/LibLinear/src/main/java/org/tribuo/common/liblinear/LibLinearModel.java
+++ b/Common/LibLinear/src/main/java/org/tribuo/common/liblinear/LibLinearModel.java
@@ -66,7 +66,6 @@
  * </pre>
  */
 public abstract class LibLinearModel<T extends Output<T>> extends Model<T> {
-    private static final long serialVersionUID = 3L;
 
     private static final Logger logger = Logger.getLogger(LibLinearModel.class.getName());
 
diff --git a/Common/NearestNeighbour/src/main/java/org/tribuo/common/nearest/KNNModel.java b/Common/NearestNeighbour/src/main/java/org/tribuo/common/nearest/KNNModel.java
index 55deb92c7..4361962b8 100644
--- a/Common/NearestNeighbour/src/main/java/org/tribuo/common/nearest/KNNModel.java
+++ b/Common/NearestNeighbour/src/main/java/org/tribuo/common/nearest/KNNModel.java
@@ -75,8 +75,6 @@ public class KNNModel<T extends Output<T>> extends Model<T> {
 
     private static final Logger logger = Logger.getLogger(KNNModel.class.getName());
 
-    private static final long serialVersionUID = 1L;
-
     /**
      * Protobuf serialization version.
      */
diff --git a/Common/SGD/src/main/java/org/tribuo/common/sgd/AbstractFMModel.java b/Common/SGD/src/main/java/org/tribuo/common/sgd/AbstractFMModel.java
index 00479f468..0a62605a6 100644
--- a/Common/SGD/src/main/java/org/tribuo/common/sgd/AbstractFMModel.java
+++ b/Common/SGD/src/main/java/org/tribuo/common/sgd/AbstractFMModel.java
@@ -61,7 +61,6 @@
  * </pre>
  */
 public abstract class AbstractFMModel<T extends Output<T>> extends AbstractSGDModel<T> {
-    private static final long serialVersionUID = 1L;
 
     /**
      * Constructs a factorization machine model trained via SGD.
diff --git a/Common/SGD/src/main/java/org/tribuo/common/sgd/AbstractLinearSGDModel.java b/Common/SGD/src/main/java/org/tribuo/common/sgd/AbstractLinearSGDModel.java
index e47f5a020..192aec648 100644
--- a/Common/SGD/src/main/java/org/tribuo/common/sgd/AbstractLinearSGDModel.java
+++ b/Common/SGD/src/main/java/org/tribuo/common/sgd/AbstractLinearSGDModel.java
@@ -62,7 +62,6 @@
  * </pre>
  */
 public abstract class AbstractLinearSGDModel<T extends Output<T>> extends AbstractSGDModel<T> {
-    private static final long serialVersionUID = 1L;
 
     /**
      * Constructs a linear model trained via SGD.
diff --git a/Common/SGD/src/main/java/org/tribuo/common/sgd/AbstractSGDModel.java b/Common/SGD/src/main/java/org/tribuo/common/sgd/AbstractSGDModel.java
index 0ea0e7760..886f2de0b 100644
--- a/Common/SGD/src/main/java/org/tribuo/common/sgd/AbstractSGDModel.java
+++ b/Common/SGD/src/main/java/org/tribuo/common/sgd/AbstractSGDModel.java
@@ -38,7 +38,6 @@
  * </pre>
  */
 public abstract class AbstractSGDModel<T extends Output<T>> extends Model<T> {
-    private static final long serialVersionUID = 1L;
 
     /**
      * The weights for this model.
diff --git a/Common/SGD/src/main/java/org/tribuo/common/sgd/FMParameters.java b/Common/SGD/src/main/java/org/tribuo/common/sgd/FMParameters.java
index 53a4440fb..70fc9e32f 100644
--- a/Common/SGD/src/main/java/org/tribuo/common/sgd/FMParameters.java
+++ b/Common/SGD/src/main/java/org/tribuo/common/sgd/FMParameters.java
@@ -46,7 +46,6 @@
  * A {@link Parameters} for factorization machines.
  */
 public final class FMParameters implements FeedForwardParameters {
-    private static final long serialVersionUID = 1L;
 
     /**
      * Protobuf serialization version.
diff --git a/Common/Trees/src/main/java/org/tribuo/common/tree/TreeModel.java b/Common/Trees/src/main/java/org/tribuo/common/tree/TreeModel.java
index b0447ef84..5421c76f3 100644
--- a/Common/Trees/src/main/java/org/tribuo/common/tree/TreeModel.java
+++ b/Common/Trees/src/main/java/org/tribuo/common/tree/TreeModel.java
@@ -56,7 +56,6 @@
  * A {@link Model} wrapped around a decision tree root {@link Node}.
  */
 public class TreeModel<T extends Output<T>> extends SparseModel<T> {
-    private static final long serialVersionUID = 3L;
 
     /**
      * Protobuf serialization version.
diff --git a/Common/XGBoost/src/main/java/org/tribuo/common/xgboost/XGBoostExternalModel.java b/Common/XGBoost/src/main/java/org/tribuo/common/xgboost/XGBoostExternalModel.java
index ddf7be948..4c15d05e3 100644
--- a/Common/XGBoost/src/main/java/org/tribuo/common/xgboost/XGBoostExternalModel.java
+++ b/Common/XGBoost/src/main/java/org/tribuo/common/xgboost/XGBoostExternalModel.java
@@ -92,7 +92,6 @@
  * OpenMP support after installing libomp from homebrew if necessary.
  */
 public final class XGBoostExternalModel<T extends Output<T>> extends ExternalModel<T,DMatrix,float[][]> {
-    private static final long serialVersionUID = 1L;
 
     private static final Logger logger = Logger.getLogger(XGBoostExternalModel.class.getName());
 
diff --git a/Common/XGBoost/src/main/java/org/tribuo/common/xgboost/XGBoostModel.java b/Common/XGBoost/src/main/java/org/tribuo/common/xgboost/XGBoostModel.java
index 51f33fc6d..dcf604146 100644
--- a/Common/XGBoost/src/main/java/org/tribuo/common/xgboost/XGBoostModel.java
+++ b/Common/XGBoost/src/main/java/org/tribuo/common/xgboost/XGBoostModel.java
@@ -80,7 +80,6 @@
  * OpenMP support after installing libomp from homebrew if necessary.
  */
 public final class XGBoostModel<T extends Output<T>> extends Model<T> {
-    private static final long serialVersionUID = 4L;
 
     private static final Logger logger = Logger.getLogger(XGBoostModel.class.getName());
 
diff --git a/Common/XGBoost/src/test/java/org/tribuo/common/xgboost/TestXGBoost.java b/Common/XGBoost/src/test/java/org/tribuo/common/xgboost/TestXGBoost.java
index fa39e3606..06f606eee 100644
--- a/Common/XGBoost/src/test/java/org/tribuo/common/xgboost/TestXGBoost.java
+++ b/Common/XGBoost/src/test/java/org/tribuo/common/xgboost/TestXGBoost.java
@@ -68,7 +68,6 @@ private static Example<MockOutput> generateExample(String[] names, double[] valu
     }
 
     private static class TestMap extends ImmutableFeatureMap {
-        private static final long serialVersionUID = 1L;
         public TestMap() {
             super();
             CategoricalIDInfo foo = (new CategoricalInfo("FOO")).makeIDInfo(0);
diff --git a/Core/src/main/java/org/tribuo/dataset/DatasetView.java b/Core/src/main/java/org/tribuo/dataset/DatasetView.java
index 026a2a62e..8d457e965 100644
--- a/Core/src/main/java/org/tribuo/dataset/DatasetView.java
+++ b/Core/src/main/java/org/tribuo/dataset/DatasetView.java
@@ -60,7 +60,6 @@
  * @param <T> The output type of this dataset.
  */
 public final class DatasetView<T extends Output<T>> extends ImmutableDataset<T> {
-    private static final long serialVersionUID = 1L;
 
     /**
      * Protobuf serialization version.
diff --git a/Core/src/main/java/org/tribuo/dataset/MinimumCardinalityDataset.java b/Core/src/main/java/org/tribuo/dataset/MinimumCardinalityDataset.java
index 5faeb7507..a6d1eed92 100644
--- a/Core/src/main/java/org/tribuo/dataset/MinimumCardinalityDataset.java
+++ b/Core/src/main/java/org/tribuo/dataset/MinimumCardinalityDataset.java
@@ -63,7 +63,6 @@
  * @param <T> The type of the outputs in this {@link Dataset}.
  */
 public class MinimumCardinalityDataset<T extends Output<T>> extends ImmutableDataset<T> {
-    private static final long serialVersionUID = 1L;
 
     private static final Logger logger = Logger.getLogger(MinimumCardinalityDataset.class.getName());
 
diff --git a/Core/src/main/java/org/tribuo/dataset/SelectedFeatureDataset.java b/Core/src/main/java/org/tribuo/dataset/SelectedFeatureDataset.java
index 2cef6ea32..e6decac60 100644
--- a/Core/src/main/java/org/tribuo/dataset/SelectedFeatureDataset.java
+++ b/Core/src/main/java/org/tribuo/dataset/SelectedFeatureDataset.java
@@ -65,7 +65,6 @@
  * @param <T> The type of the outputs in this {@link Dataset}.
  */
 public final class SelectedFeatureDataset<T extends Output<T>> extends ImmutableDataset<T> {
-    private static final long serialVersionUID = 1L;
 
     private static final Logger logger = Logger.getLogger(SelectedFeatureDataset.class.getName());
 
diff --git a/Core/src/main/java/org/tribuo/ensemble/EnsembleModel.java b/Core/src/main/java/org/tribuo/ensemble/EnsembleModel.java
index d91db4ba3..a4d8433b0 100644
--- a/Core/src/main/java/org/tribuo/ensemble/EnsembleModel.java
+++ b/Core/src/main/java/org/tribuo/ensemble/EnsembleModel.java
@@ -40,7 +40,6 @@
  * A model which contains a list of other {@link Model}s.
  */
 public abstract class EnsembleModel<T extends Output<T>> extends Model<T> {
-    private static final long serialVersionUID = 1L;
 
     /**
      * The list of models in this ensemble.
diff --git a/Core/src/main/java/org/tribuo/ensemble/WeightedEnsembleModel.java b/Core/src/main/java/org/tribuo/ensemble/WeightedEnsembleModel.java
index dc8d1d5a8..12f23c9f6 100644
--- a/Core/src/main/java/org/tribuo/ensemble/WeightedEnsembleModel.java
+++ b/Core/src/main/java/org/tribuo/ensemble/WeightedEnsembleModel.java
@@ -58,7 +58,6 @@
  * An ensemble model that uses weights to combine the ensemble member predictions.
  */
 public final class WeightedEnsembleModel<T extends Output<T>> extends EnsembleModel<T> implements ONNXExportable {
-    private static final long serialVersionUID = 1L;
 
     /**
      * Protobuf serialization version.
diff --git a/Core/src/main/java/org/tribuo/hash/HashCodeHasher.java b/Core/src/main/java/org/tribuo/hash/HashCodeHasher.java
index 93a3315a2..c985a7224 100644
--- a/Core/src/main/java/org/tribuo/hash/HashCodeHasher.java
+++ b/Core/src/main/java/org/tribuo/hash/HashCodeHasher.java
@@ -38,7 +38,6 @@
  */
 @ProtoSerializableClass(version = HashCodeHasher.CURRENT_VERSION)
 public final class HashCodeHasher extends Hasher {
-    private static final long serialVersionUID = 2L;
 
     /**
      * Protobuf serialization version.
diff --git a/Core/src/main/java/org/tribuo/hash/HashedFeatureMap.java b/Core/src/main/java/org/tribuo/hash/HashedFeatureMap.java
index 22f66989b..df9640ecc 100644
--- a/Core/src/main/java/org/tribuo/hash/HashedFeatureMap.java
+++ b/Core/src/main/java/org/tribuo/hash/HashedFeatureMap.java
@@ -43,7 +43,6 @@
  */
 @ProtoSerializableClass(version = HashedFeatureMap.CURRENT_VERSION, serializedDataClass = HashedFeatureMapProto.class)
 public final class HashedFeatureMap extends ImmutableFeatureMap {
-    private static final long serialVersionUID = 1L;
 
     /**
      * Protobuf serialization version.
diff --git a/Core/src/main/java/org/tribuo/hash/MessageDigestHasher.java b/Core/src/main/java/org/tribuo/hash/MessageDigestHasher.java
index 4c3d859b3..5633f7e1b 100644
--- a/Core/src/main/java/org/tribuo/hash/MessageDigestHasher.java
+++ b/Core/src/main/java/org/tribuo/hash/MessageDigestHasher.java
@@ -49,7 +49,6 @@
  */
 @ProtoSerializableClass(version = MessageDigestHasher.CURRENT_VERSION, serializedDataClass = MessageDigestHasherProto.class)
 public final class MessageDigestHasher extends Hasher {
-    private static final long serialVersionUID = 3L;
 
     /**
      * Protobuf serialization version.
diff --git a/Core/src/main/java/org/tribuo/hash/ModHashCodeHasher.java b/Core/src/main/java/org/tribuo/hash/ModHashCodeHasher.java
index 4a1b68de5..e6d1acd80 100644
--- a/Core/src/main/java/org/tribuo/hash/ModHashCodeHasher.java
+++ b/Core/src/main/java/org/tribuo/hash/ModHashCodeHasher.java
@@ -43,7 +43,6 @@
  */
 @ProtoSerializableClass(version = ModHashCodeHasher.CURRENT_VERSION, serializedDataClass = ModHashCodeHasherProto.class)
 public final class ModHashCodeHasher extends Hasher {
-    private static final long serialVersionUID = 2L;
 
     /**
      * Protobuf serialization version.
diff --git a/Core/src/main/java/org/tribuo/impl/ArrayExample.java b/Core/src/main/java/org/tribuo/impl/ArrayExample.java
index f04e4f7f7..812c54e72 100644
--- a/Core/src/main/java/org/tribuo/impl/ArrayExample.java
+++ b/Core/src/main/java/org/tribuo/impl/ArrayExample.java
@@ -49,7 +49,6 @@
  * An {@link Example} backed by two arrays, one of String and one of double.
  */
 public class ArrayExample<T extends Output<T>> extends Example<T> {
-    private static final long serialVersionUID = 1L;
 
     private static final Logger logger = Logger.getLogger(ArrayExample.class.getName());
 
diff --git a/Core/src/main/java/org/tribuo/impl/BinaryFeaturesExample.java b/Core/src/main/java/org/tribuo/impl/BinaryFeaturesExample.java
index b01cdc0df..bcff8085f 100644
--- a/Core/src/main/java/org/tribuo/impl/BinaryFeaturesExample.java
+++ b/Core/src/main/java/org/tribuo/impl/BinaryFeaturesExample.java
@@ -63,7 +63,6 @@
  * @param <T> The output type.
  */
 public final class BinaryFeaturesExample<T extends Output<T>> extends Example<T> {
-    private static final long serialVersionUID = 1L;
 
     private static final Logger logger = Logger.getLogger(BinaryFeaturesExample.class.getName());
 
diff --git a/Core/src/main/java/org/tribuo/impl/IndexedArrayExample.java b/Core/src/main/java/org/tribuo/impl/IndexedArrayExample.java
index 3c6c370d2..db508b7ce 100644
--- a/Core/src/main/java/org/tribuo/impl/IndexedArrayExample.java
+++ b/Core/src/main/java/org/tribuo/impl/IndexedArrayExample.java
@@ -53,7 +53,6 @@
  * Other outputs may return -1 from {@link #getOutputID()}.
  */
 public class IndexedArrayExample<T extends Output<T>> extends ArrayExample<T> {
-    private static final long serialVersionUID = 1L;
 
     private static final Logger logger = Logger.getLogger(IndexedArrayExample.class.getName());
 
diff --git a/Core/src/main/java/org/tribuo/sequence/SequenceDataset.java b/Core/src/main/java/org/tribuo/sequence/SequenceDataset.java
index 95872ab77..4d7e176e8 100644
--- a/Core/src/main/java/org/tribuo/sequence/SequenceDataset.java
+++ b/Core/src/main/java/org/tribuo/sequence/SequenceDataset.java
@@ -311,8 +311,6 @@ protected DatasetDataCarrier<T> createDataCarrier(FeatureMap featureMap, OutputI
     }
 
     private static class FlatDataset<T extends Output<T>> extends ImmutableDataset<T> {
-        private static final long serialVersionUID = 1L;
-
         FlatDataset(SequenceDataset<T> sequenceDataset) {
             super(sequenceDataset.sourceProvenance, sequenceDataset.outputFactory, sequenceDataset.getFeatureIDMap(), sequenceDataset.getOutputIDInfo());
             for (SequenceExample<T> seq : sequenceDataset) {
diff --git a/Core/src/main/java/org/tribuo/transform/TransformedModel.java b/Core/src/main/java/org/tribuo/transform/TransformedModel.java
index 5f7303aaa..9b94766bb 100644
--- a/Core/src/main/java/org/tribuo/transform/TransformedModel.java
+++ b/Core/src/main/java/org/tribuo/transform/TransformedModel.java
@@ -47,7 +47,6 @@
  * first call {@link MutableDataset#densify} on the datasets.
  */
 public class TransformedModel<T extends Output<T>> extends Model<T> {
-    private static final long serialVersionUID = 1L;
 
     /**
      * Protobuf serialization version.
diff --git a/Core/src/main/java/org/tribuo/transform/transformations/BinningTransformation.java b/Core/src/main/java/org/tribuo/transform/transformations/BinningTransformation.java
index 761b1994f..eb0604fc9 100644
--- a/Core/src/main/java/org/tribuo/transform/transformations/BinningTransformation.java
+++ b/Core/src/main/java/org/tribuo/transform/transformations/BinningTransformation.java
@@ -447,7 +447,6 @@ public String toString() {
      */
     @ProtoSerializableClass(version = BinningTransformer.CURRENT_VERSION, serializedDataClass = BinningTransformerProto.class)
     public static final class BinningTransformer implements Transformer {
-        private static final long serialVersionUID = 1L;
 
         /**
          * Protobuf serialization version.
diff --git a/Core/src/main/java/org/tribuo/transform/transformations/IDFTransformation.java b/Core/src/main/java/org/tribuo/transform/transformations/IDFTransformation.java
index ea3a0867c..38588ed2d 100644
--- a/Core/src/main/java/org/tribuo/transform/transformations/IDFTransformation.java
+++ b/Core/src/main/java/org/tribuo/transform/transformations/IDFTransformation.java
@@ -101,7 +101,6 @@ public Transformer generateTransformer() {
     
     @ProtoSerializableClass(version = IDFTransformer.CURRENT_VERSION, serializedDataClass = IDFTransformerProto.class)
     static class IDFTransformer implements Transformer {
-        private static final long serialVersionUID = 1L;
 
         /**
          * Protobuf serialization version.
diff --git a/Core/src/main/java/org/tribuo/transform/transformations/LinearScalingTransformation.java b/Core/src/main/java/org/tribuo/transform/transformations/LinearScalingTransformation.java
index efd6c06af..f8d20aea6 100644
--- a/Core/src/main/java/org/tribuo/transform/transformations/LinearScalingTransformation.java
+++ b/Core/src/main/java/org/tribuo/transform/transformations/LinearScalingTransformation.java
@@ -202,7 +202,6 @@ public String toString() {
 
     @ProtoSerializableClass(version = LinearScalingTransformer.CURRENT_VERSION, serializedDataClass = LinearScalingTransformerProto.class)
     static final class LinearScalingTransformer implements Transformer {
-        private static final long serialVersionUID = 1L;
 
         /**
          * Protobuf serialization version.
diff --git a/Core/src/main/java/org/tribuo/transform/transformations/MeanStdDevTransformation.java b/Core/src/main/java/org/tribuo/transform/transformations/MeanStdDevTransformation.java
index 7d44d79e5..f134e911a 100644
--- a/Core/src/main/java/org/tribuo/transform/transformations/MeanStdDevTransformation.java
+++ b/Core/src/main/java/org/tribuo/transform/transformations/MeanStdDevTransformation.java
@@ -210,7 +210,6 @@ public String toString() {
 
     @ProtoSerializableClass(version = MeanStdDevTransformer.CURRENT_VERSION, serializedDataClass = MeanStdDevTransformerProto.class)
     static final class MeanStdDevTransformer implements Transformer {
-        private static final long serialVersionUID = 1L;
 
         /**
          * Protobuf serialization version.
diff --git a/Core/src/main/java/org/tribuo/transform/transformations/SimpleTransform.java b/Core/src/main/java/org/tribuo/transform/transformations/SimpleTransform.java
index 1fab11f3b..7c82d267d 100644
--- a/Core/src/main/java/org/tribuo/transform/transformations/SimpleTransform.java
+++ b/Core/src/main/java/org/tribuo/transform/transformations/SimpleTransform.java
@@ -51,7 +51,6 @@
  */
 @ProtoSerializableClass(version = SimpleTransform.CURRENT_VERSION, serializedDataClass = SimpleTransformProto.class)
 public final class SimpleTransform implements Transformer, Transformation, TransformStatistics {
-    private static final long serialVersionUID = 1L;
 
     /**
      * Protobuf serialization version.
diff --git a/Core/src/main/java/org/tribuo/util/MeanVarianceAccumulator.java b/Core/src/main/java/org/tribuo/util/MeanVarianceAccumulator.java
index 61afd65f8..5203813b6 100644
--- a/Core/src/main/java/org/tribuo/util/MeanVarianceAccumulator.java
+++ b/Core/src/main/java/org/tribuo/util/MeanVarianceAccumulator.java
@@ -24,7 +24,6 @@
  * Note this class is not thread safe.
  */
 public final class MeanVarianceAccumulator {
-    private static final long serialVersionUID = 1L;
 
     private double max = Double.NEGATIVE_INFINITY;
     private double min = Double.POSITIVE_INFINITY;
diff --git a/Core/src/test/java/org/tribuo/test/MockMultiOutput.java b/Core/src/test/java/org/tribuo/test/MockMultiOutput.java
index 4cb375cc4..029f02099 100644
--- a/Core/src/test/java/org/tribuo/test/MockMultiOutput.java
+++ b/Core/src/test/java/org/tribuo/test/MockMultiOutput.java
@@ -31,8 +31,6 @@
 
 public class MockMultiOutput implements Output<MockMultiOutput> {
 
-    private static final long serialVersionUID = 1L;
-
     public static final String NEGATIVE_LABEL_STRING = "ML##NEGATIVE";
     /**
      * A MockOutput representing the binary negative label. Used in binary
diff --git a/Core/src/test/java/org/tribuo/test/MockMultiOutputFactory.java b/Core/src/test/java/org/tribuo/test/MockMultiOutputFactory.java
index 6760ecc21..1d2bd621d 100644
--- a/Core/src/test/java/org/tribuo/test/MockMultiOutputFactory.java
+++ b/Core/src/test/java/org/tribuo/test/MockMultiOutputFactory.java
@@ -37,8 +37,6 @@
 
 public class MockMultiOutputFactory implements OutputFactory<MockMultiOutput> {
 
-    private static final long serialVersionUID = 1L;
-
     public static final MockMultiOutput UNKNOWN_MULTILABEL = new MockMultiOutput("unk");
 
     public MockMultiOutputFactory() {}
diff --git a/Core/src/test/java/org/tribuo/test/MockOutput.java b/Core/src/test/java/org/tribuo/test/MockOutput.java
index f030249a0..76aab7300 100644
--- a/Core/src/test/java/org/tribuo/test/MockOutput.java
+++ b/Core/src/test/java/org/tribuo/test/MockOutput.java
@@ -32,7 +32,6 @@
  */
 @ProtoSerializableClass(serializedDataClass=MockOutputProto.class, version=0)
 public class MockOutput implements Output<MockOutput> {
-    private static final long serialVersionUID = 1L;
 
     @ProtoSerializableField
     public final String label;
diff --git a/Data/src/main/java/org/tribuo/data/columnar/ColumnarFeature.java b/Data/src/main/java/org/tribuo/data/columnar/ColumnarFeature.java
index 3768d6289..a95e4c9bc 100644
--- a/Data/src/main/java/org/tribuo/data/columnar/ColumnarFeature.java
+++ b/Data/src/main/java/org/tribuo/data/columnar/ColumnarFeature.java
@@ -27,7 +27,6 @@
  * Example after construction.
  */
 public class ColumnarFeature extends Feature {
-    private static final long serialVersionUID = 1L;
 
     /**
      * The string used as the field name of conjunction features.
diff --git a/Interop/Core/src/main/java/org/tribuo/interop/ExternalModel.java b/Interop/Core/src/main/java/org/tribuo/interop/ExternalModel.java
index c343b8916..1599ef6d2 100644
--- a/Interop/Core/src/main/java/org/tribuo/interop/ExternalModel.java
+++ b/Interop/Core/src/main/java/org/tribuo/interop/ExternalModel.java
@@ -48,7 +48,6 @@
  * @param <V> The internal representation of outputs.
  */
 public abstract class ExternalModel<T extends Output<T>,U,V> extends Model<T> {
-    private static final long serialVersionUID = 1L;
     /**
      * Default batch size for external model batch predictions.
      */
diff --git a/Interop/OCI/src/main/java/org/tribuo/interop/oci/OCILabelConverter.java b/Interop/OCI/src/main/java/org/tribuo/interop/oci/OCILabelConverter.java
index 8dfc92712..d9d0733a1 100644
--- a/Interop/OCI/src/main/java/org/tribuo/interop/oci/OCILabelConverter.java
+++ b/Interop/OCI/src/main/java/org/tribuo/interop/oci/OCILabelConverter.java
@@ -47,7 +47,6 @@
  */
 @ProtoSerializableClass(serializedDataClass = OCILabelConverterProto.class, version = OCILabelConverter.CURRENT_VERSION)
 public final class OCILabelConverter implements OCIOutputConverter<Label> {
-    private static final long serialVersionUID = 1L;
 
     /**
      * Protobuf serialization version.
diff --git a/Interop/OCI/src/main/java/org/tribuo/interop/oci/OCIModel.java b/Interop/OCI/src/main/java/org/tribuo/interop/oci/OCIModel.java
index 7983e1545..0598eb3ac 100644
--- a/Interop/OCI/src/main/java/org/tribuo/interop/oci/OCIModel.java
+++ b/Interop/OCI/src/main/java/org/tribuo/interop/oci/OCIModel.java
@@ -78,7 +78,6 @@
  * converts the output into a Tribuo prediction.
  */
 public final class OCIModel<T extends Output<T>> extends ExternalModel<T, DenseMatrix, DenseMatrix> implements AutoCloseable {
-    private static final long serialVersionUID = 1L;
 
     private static final Logger logger = Logger.getLogger(OCIModel.class.getName());
 
diff --git a/Interop/OCI/src/main/java/org/tribuo/interop/oci/OCIMultiLabelConverter.java b/Interop/OCI/src/main/java/org/tribuo/interop/oci/OCIMultiLabelConverter.java
index 90acf2a57..df2a88c10 100644
--- a/Interop/OCI/src/main/java/org/tribuo/interop/oci/OCIMultiLabelConverter.java
+++ b/Interop/OCI/src/main/java/org/tribuo/interop/oci/OCIMultiLabelConverter.java
@@ -51,7 +51,6 @@
  */
 @ProtoSerializableClass(serializedDataClass = OCIMultiLabelConverterProto.class, version = OCIMultiLabelConverter.CURRENT_VERSION)
 public final class OCIMultiLabelConverter implements OCIOutputConverter<MultiLabel> {
-    private static final long serialVersionUID = 1L;
 
     /**
      * Protobuf serialization version.
diff --git a/Interop/OCI/src/main/java/org/tribuo/interop/oci/OCIRegressorConverter.java b/Interop/OCI/src/main/java/org/tribuo/interop/oci/OCIRegressorConverter.java
index 3fc443e42..aab988a12 100644
--- a/Interop/OCI/src/main/java/org/tribuo/interop/oci/OCIRegressorConverter.java
+++ b/Interop/OCI/src/main/java/org/tribuo/interop/oci/OCIRegressorConverter.java
@@ -39,7 +39,6 @@
  */
 @ProtoSerializableClass(version = OCIRegressorConverter.CURRENT_VERSION)
 public final class OCIRegressorConverter implements OCIOutputConverter<Regressor> {
-    private static final long serialVersionUID = 1L;
 
     /**
      * Protobuf serialization version.
diff --git a/Interop/ONNX/src/main/java/org/tribuo/interop/onnx/DenseTransformer.java b/Interop/ONNX/src/main/java/org/tribuo/interop/onnx/DenseTransformer.java
index eb3ca0399..9fda9be59 100644
--- a/Interop/ONNX/src/main/java/org/tribuo/interop/onnx/DenseTransformer.java
+++ b/Interop/ONNX/src/main/java/org/tribuo/interop/onnx/DenseTransformer.java
@@ -37,7 +37,6 @@
  */
 @ProtoSerializableClass(version = DenseTransformer.CURRENT_VERSION)
 public class DenseTransformer implements ExampleTransformer {
-    private static final long serialVersionUID = 1L;
     private static final Logger logger = Logger.getLogger(DenseTransformer.class.getName());
 
     /**
diff --git a/Interop/ONNX/src/main/java/org/tribuo/interop/onnx/ImageTransformer.java b/Interop/ONNX/src/main/java/org/tribuo/interop/onnx/ImageTransformer.java
index 13e7109e4..29164ab39 100644
--- a/Interop/ONNX/src/main/java/org/tribuo/interop/onnx/ImageTransformer.java
+++ b/Interop/ONNX/src/main/java/org/tribuo/interop/onnx/ImageTransformer.java
@@ -48,7 +48,6 @@
  */
 @ProtoSerializableClass(serializedDataClass = ImageTransformerProto.class, version = ImageTransformer.CURRENT_VERSION)
 public class ImageTransformer implements ExampleTransformer {
-    private static final long serialVersionUID = 1L;
 
     /**
      * Protobuf serialization version.
diff --git a/Interop/ONNX/src/main/java/org/tribuo/interop/onnx/LabelOneVOneTransformer.java b/Interop/ONNX/src/main/java/org/tribuo/interop/onnx/LabelOneVOneTransformer.java
index 8c79983e1..9688a57a1 100644
--- a/Interop/ONNX/src/main/java/org/tribuo/interop/onnx/LabelOneVOneTransformer.java
+++ b/Interop/ONNX/src/main/java/org/tribuo/interop/onnx/LabelOneVOneTransformer.java
@@ -50,7 +50,6 @@
  */
 @ProtoSerializableClass(version = LabelOneVOneTransformer.CURRENT_VERSION)
 public final class LabelOneVOneTransformer extends LabelTransformer {
-    private static final long serialVersionUID = 1L;
     private static final Logger logger = Logger.getLogger(LabelTransformer.class.getName());
 
     /**
diff --git a/Interop/ONNX/src/main/java/org/tribuo/interop/onnx/LabelTransformer.java b/Interop/ONNX/src/main/java/org/tribuo/interop/onnx/LabelTransformer.java
index d60ae358d..fddee5d5a 100644
--- a/Interop/ONNX/src/main/java/org/tribuo/interop/onnx/LabelTransformer.java
+++ b/Interop/ONNX/src/main/java/org/tribuo/interop/onnx/LabelTransformer.java
@@ -63,7 +63,6 @@
  */
 @ProtoSerializableClass(serializedDataClass = LabelTransformerProto.class, version = LabelTransformer.CURRENT_VERSION)
 public class LabelTransformer implements OutputTransformer<Label> {
-    private static final long serialVersionUID = 1L;
     private static final Logger logger = Logger.getLogger(LabelTransformer.class.getName());
 
     /**
diff --git a/Interop/ONNX/src/main/java/org/tribuo/interop/onnx/MultiLabelTransformer.java b/Interop/ONNX/src/main/java/org/tribuo/interop/onnx/MultiLabelTransformer.java
index eaf7b0969..4ba105b09 100644
--- a/Interop/ONNX/src/main/java/org/tribuo/interop/onnx/MultiLabelTransformer.java
+++ b/Interop/ONNX/src/main/java/org/tribuo/interop/onnx/MultiLabelTransformer.java
@@ -58,7 +58,6 @@
  */
 @ProtoSerializableClass(serializedDataClass = MultiLabelTransformerProto.class, version = MultiLabelTransformer.CURRENT_VERSION)
 public class MultiLabelTransformer implements OutputTransformer<MultiLabel> {
-    private static final long serialVersionUID = 1L;
     private static final Logger logger = Logger.getLogger(MultiLabelTransformer.class.getName());
 
     /**
diff --git a/Interop/ONNX/src/main/java/org/tribuo/interop/onnx/ONNXExternalModel.java b/Interop/ONNX/src/main/java/org/tribuo/interop/onnx/ONNXExternalModel.java
index 57647a350..ff46adbf0 100644
--- a/Interop/ONNX/src/main/java/org/tribuo/interop/onnx/ONNXExternalModel.java
+++ b/Interop/ONNX/src/main/java/org/tribuo/interop/onnx/ONNXExternalModel.java
@@ -73,7 +73,6 @@
  * N.B. ONNX support is experimental, and may change without a major version bump.
  */
 public final class ONNXExternalModel<T extends Output<T>> extends ExternalModel<T, OnnxTensor, List<OnnxValue>> implements AutoCloseable {
-    private static final long serialVersionUID = 1L;
 
     private static final Logger logger = Logger.getLogger(ONNXExternalModel.class.getName());
 
diff --git a/Interop/ONNX/src/main/java/org/tribuo/interop/onnx/RegressorTransformer.java b/Interop/ONNX/src/main/java/org/tribuo/interop/onnx/RegressorTransformer.java
index ef03b994b..7381d2f4d 100644
--- a/Interop/ONNX/src/main/java/org/tribuo/interop/onnx/RegressorTransformer.java
+++ b/Interop/ONNX/src/main/java/org/tribuo/interop/onnx/RegressorTransformer.java
@@ -42,7 +42,6 @@
  */
 @ProtoSerializableClass(version = RegressorTransformer.CURRENT_VERSION)
 public class RegressorTransformer implements OutputTransformer<Regressor> {
-    private static final long serialVersionUID = 1L;
 
     /**
      * Protobuf serialization version.
diff --git a/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/DenseFeatureConverter.java b/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/DenseFeatureConverter.java
index 00eeec8d6..73c878b1a 100644
--- a/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/DenseFeatureConverter.java
+++ b/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/DenseFeatureConverter.java
@@ -48,7 +48,6 @@
  */
 @ProtoSerializableClass(serializedDataClass = DenseFeatureConverterProto.class, version = DenseFeatureConverter.CURRENT_VERSION)
 public class DenseFeatureConverter implements FeatureConverter {
-    private static final long serialVersionUID = 1L;
     private static final Logger logger = Logger.getLogger(DenseFeatureConverter.class.getName());
 
     /**
diff --git a/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/ImageConverter.java b/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/ImageConverter.java
index bd78ef2e9..88c9717f1 100644
--- a/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/ImageConverter.java
+++ b/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/ImageConverter.java
@@ -51,7 +51,6 @@
  */
 @ProtoSerializableClass(serializedDataClass = ImageConverterProto.class, version = ImageConverter.CURRENT_VERSION)
 public class ImageConverter implements FeatureConverter {
-    private static final long serialVersionUID = 1L;
 
     /**
      * Protobuf serialization version.
diff --git a/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/LabelConverter.java b/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/LabelConverter.java
index 076d6e6b1..933c5b65d 100644
--- a/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/LabelConverter.java
+++ b/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/LabelConverter.java
@@ -54,7 +54,6 @@
  */
 @ProtoSerializableClass(version = LabelConverter.CURRENT_VERSION)
 public class LabelConverter implements OutputConverter<Label> {
-    private static final long serialVersionUID = 1L;
     private static final Logger logger = Logger.getLogger(LabelConverter.class.getName());
 
     /**
diff --git a/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/MultiLabelConverter.java b/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/MultiLabelConverter.java
index 3db44b9a1..169815e3a 100644
--- a/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/MultiLabelConverter.java
+++ b/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/MultiLabelConverter.java
@@ -63,7 +63,6 @@
  */
 @ProtoSerializableClass(version = MultiLabelConverter.CURRENT_VERSION)
 public class MultiLabelConverter implements OutputConverter<MultiLabel> {
-    private static final long serialVersionUID = 1L;
     private static final Logger logger = Logger.getLogger(MultiLabelConverter.class.getName());
 
     /**
diff --git a/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/RegressorConverter.java b/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/RegressorConverter.java
index 9ac58e2a9..f5b1a25c9 100644
--- a/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/RegressorConverter.java
+++ b/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/RegressorConverter.java
@@ -53,7 +53,6 @@
  */
 @ProtoSerializableClass(version = RegressorConverter.CURRENT_VERSION)
 public class RegressorConverter implements OutputConverter<Regressor> {
-    private static final long serialVersionUID = 1L;
 
     /**
      * Protobuf serialization version.
diff --git a/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/TensorFlowCheckpointModel.java b/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/TensorFlowCheckpointModel.java
index 9ca5c4228..a463673f8 100644
--- a/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/TensorFlowCheckpointModel.java
+++ b/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/TensorFlowCheckpointModel.java
@@ -55,15 +55,11 @@
  * It accepts an {@link FeatureConverter} that converts an example's features into a {@link TensorMap}, and an
  * {@link OutputConverter} that converts a {@link Tensor} into a {@link Prediction}.
  * <p>
- * The model's serialVersionUID is set to the major TensorFlow version number times 100.
- * <p>
  * N.B. TensorFlow support is experimental and may change without a major version bump.
  */
 public final class TensorFlowCheckpointModel<T extends Output<T>> extends TensorFlowModel<T> implements Closeable {
     private static final Logger logger = Logger.getLogger(TensorFlowCheckpointModel.class.getName());
 
-    private static final long serialVersionUID = 200L;
-
     /**
      * Protobuf serialization version.
      */
diff --git a/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/TensorFlowFrozenExternalModel.java b/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/TensorFlowFrozenExternalModel.java
index 8dd7796f5..67d0f7d4e 100644
--- a/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/TensorFlowFrozenExternalModel.java
+++ b/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/TensorFlowFrozenExternalModel.java
@@ -59,12 +59,9 @@
 /**
  * A Tribuo wrapper around a TensorFlow frozen model.
  * <p>
- * The model's serialVersionUID is set to the major Tensorflow version number times 100.
- * <p>
  * N.B. TensorFlow support is experimental and may change without a major version bump.
  */
 public final class TensorFlowFrozenExternalModel<T extends Output<T>> extends ExternalModel<T, TensorMap, Tensor> implements Closeable {
-    private static final long serialVersionUID = 200L;
 
     /**
      * Protobuf serialization version.
diff --git a/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/TensorFlowModel.java b/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/TensorFlowModel.java
index c02ab8147..6403e26d2 100644
--- a/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/TensorFlowModel.java
+++ b/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/TensorFlowModel.java
@@ -55,7 +55,6 @@
  */
 public abstract class TensorFlowModel<T extends Output<T>> extends Model<T> implements AutoCloseable {
     private static final Logger logger = Logger.getLogger(TensorFlowModel.class.getName());
-    private static final long serialVersionUID = 200L;
 
     protected int batchSize;
     protected final String outputName;
diff --git a/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/TensorFlowNativeModel.java b/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/TensorFlowNativeModel.java
index e9be794e5..f8b680504 100644
--- a/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/TensorFlowNativeModel.java
+++ b/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/TensorFlowNativeModel.java
@@ -45,12 +45,9 @@
  * This model's serialized form stores the weights and is entirely self contained.
  * If you wish to convert it into a model which uses checkpoints then call {@link #convertToCheckpointModel}.
  * <p>
- * The model's serialVersionUID is set to the major TensorFlow version number times 100.
- * <p>
  * N.B. TensorFlow support is experimental and may change without a major version bump.
  */
 public final class TensorFlowNativeModel<T extends Output<T>> extends TensorFlowModel<T> {
-    private static final long serialVersionUID = 200L;
 
     /**
      * Protobuf serialization version.
diff --git a/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/TensorFlowSavedModelExternalModel.java b/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/TensorFlowSavedModelExternalModel.java
index 44a763b47..a5edd3c5f 100644
--- a/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/TensorFlowSavedModelExternalModel.java
+++ b/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/TensorFlowSavedModelExternalModel.java
@@ -58,12 +58,9 @@
 /**
  * A Tribuo wrapper around a TensorFlow saved model bundle.
  * <p>
- * The model's serialVersionUID is set to the major TensorFlow version number times 100.
- * <p>
  * N.B. TensorFlow support is experimental and may change without a major version bump.
  */
 public final class TensorFlowSavedModelExternalModel<T extends Output<T>> extends ExternalModel<T, TensorMap, TensorMap> implements Closeable {
-    private static final long serialVersionUID = 200L;
 
     /**
      * Protobuf serialization version.
diff --git a/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/sequence/TensorFlowSequenceModel.java b/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/sequence/TensorFlowSequenceModel.java
index 8184d6903..0e0b97528 100644
--- a/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/sequence/TensorFlowSequenceModel.java
+++ b/Interop/Tensorflow/src/main/java/org/tribuo/interop/tensorflow/sequence/TensorFlowSequenceModel.java
@@ -51,8 +51,6 @@
  */
 public class TensorFlowSequenceModel<T extends Output<T>> extends SequenceModel<T> implements AutoCloseable {
 
-    private static final long serialVersionUID = 200L;
-
     /**
      * Protobuf serialization version.
      */
diff --git a/Math/src/main/java/org/tribuo/math/LinearParameters.java b/Math/src/main/java/org/tribuo/math/LinearParameters.java
index fcff84f8b..d2097d2ea 100644
--- a/Math/src/main/java/org/tribuo/math/LinearParameters.java
+++ b/Math/src/main/java/org/tribuo/math/LinearParameters.java
@@ -41,7 +41,6 @@
  */
 @ProtoSerializableClass(version = LinearParameters.CURRENT_VERSION, serializedDataClass = LinearParametersProto.class)
 public class LinearParameters implements FeedForwardParameters {
-    private static final long serialVersionUID = 1L;
 
     /**
      * Protobuf serialization version.
diff --git a/Math/src/main/java/org/tribuo/math/distance/CosineDistance.java b/Math/src/main/java/org/tribuo/math/distance/CosineDistance.java
index e4b7c58c5..0c07ce21d 100644
--- a/Math/src/main/java/org/tribuo/math/distance/CosineDistance.java
+++ b/Math/src/main/java/org/tribuo/math/distance/CosineDistance.java
@@ -27,7 +27,6 @@
  * Cosine similarity used as a distance measure.
  */
 public final class CosineDistance implements Distance {
-    private static final long serialVersionUID = 1L;
 
     /**
      * Protobuf serialization version.
diff --git a/Math/src/main/java/org/tribuo/math/distance/L1Distance.java b/Math/src/main/java/org/tribuo/math/distance/L1Distance.java
index ea4071c5c..1daf44804 100644
--- a/Math/src/main/java/org/tribuo/math/distance/L1Distance.java
+++ b/Math/src/main/java/org/tribuo/math/distance/L1Distance.java
@@ -27,7 +27,6 @@
  * L1 (or Manhattan) distance.
  */
 public final class L1Distance implements Distance {
-    private static final long serialVersionUID = 1L;
 
     /**
      * Protobuf serialization version.
diff --git a/Math/src/main/java/org/tribuo/math/distance/L2Distance.java b/Math/src/main/java/org/tribuo/math/distance/L2Distance.java
index 21514e42d..565994d9f 100644
--- a/Math/src/main/java/org/tribuo/math/distance/L2Distance.java
+++ b/Math/src/main/java/org/tribuo/math/distance/L2Distance.java
@@ -27,7 +27,6 @@
  * L2 (or Euclidean) distance.
  */
 public final class L2Distance implements Distance {
-    private static final long serialVersionUID = 1L;
 
     /**
      * Protobuf serialization version.
diff --git a/Math/src/main/java/org/tribuo/math/kernel/Linear.java b/Math/src/main/java/org/tribuo/math/kernel/Linear.java
index 9dc65dad5..c1f5e0cac 100644
--- a/Math/src/main/java/org/tribuo/math/kernel/Linear.java
+++ b/Math/src/main/java/org/tribuo/math/kernel/Linear.java
@@ -27,7 +27,6 @@
  * A linear kernel, u.dot(v).
  */
 public class Linear implements Kernel {
-    private static final long serialVersionUID = 1L;
 
     /**
      * Protobuf serialization version.
diff --git a/Math/src/main/java/org/tribuo/math/kernel/Polynomial.java b/Math/src/main/java/org/tribuo/math/kernel/Polynomial.java
index 92cede9cd..94d42a488 100644
--- a/Math/src/main/java/org/tribuo/math/kernel/Polynomial.java
+++ b/Math/src/main/java/org/tribuo/math/kernel/Polynomial.java
@@ -35,7 +35,6 @@
  */
 @ProtoSerializableClass(version = Polynomial.CURRENT_VERSION, serializedDataClass = PolynomialKernelProto.class)
 public class Polynomial implements Kernel {
-    private static final long serialVersionUID = 1L;
 
     /**
      * Protobuf serialization version.
diff --git a/Math/src/main/java/org/tribuo/math/kernel/RBF.java b/Math/src/main/java/org/tribuo/math/kernel/RBF.java
index d26e8092c..e14eed36d 100644
--- a/Math/src/main/java/org/tribuo/math/kernel/RBF.java
+++ b/Math/src/main/java/org/tribuo/math/kernel/RBF.java
@@ -35,7 +35,6 @@
  */
 @ProtoSerializableClass(version = RBF.CURRENT_VERSION, serializedDataClass = RBFKernelProto.class)
 public class RBF implements Kernel {
-    private static final long serialVersionUID = 1L;
 
     /**
      * Protobuf serialization version.
diff --git a/Math/src/main/java/org/tribuo/math/kernel/Sigmoid.java b/Math/src/main/java/org/tribuo/math/kernel/Sigmoid.java
index 6cae741c3..e7962e585 100644
--- a/Math/src/main/java/org/tribuo/math/kernel/Sigmoid.java
+++ b/Math/src/main/java/org/tribuo/math/kernel/Sigmoid.java
@@ -35,7 +35,6 @@
  */
 @ProtoSerializableClass(version = Sigmoid.CURRENT_VERSION, serializedDataClass = SigmoidKernelProto.class)
 public class Sigmoid implements Kernel {
-    private static final long serialVersionUID = 1L;
 
     /**
      * Protobuf serialization version.
diff --git a/Math/src/main/java/org/tribuo/math/la/DenseMatrix.java b/Math/src/main/java/org/tribuo/math/la/DenseMatrix.java
index 1dca0e8b2..05bf17501 100644
--- a/Math/src/main/java/org/tribuo/math/la/DenseMatrix.java
+++ b/Math/src/main/java/org/tribuo/math/la/DenseMatrix.java
@@ -41,7 +41,6 @@
  * A dense matrix, backed by a primitive array.
  */
 public class DenseMatrix implements Matrix {
-    private static final long serialVersionUID = 1L;
     private static final Logger logger = Logger.getLogger(DenseMatrix.class.getName());
 
     /**
diff --git a/Math/src/main/java/org/tribuo/math/la/DenseSparseMatrix.java b/Math/src/main/java/org/tribuo/math/la/DenseSparseMatrix.java
index b533aa649..f74163a5f 100644
--- a/Math/src/main/java/org/tribuo/math/la/DenseSparseMatrix.java
+++ b/Math/src/main/java/org/tribuo/math/la/DenseSparseMatrix.java
@@ -41,7 +41,6 @@
  * Backed by an array of {@link SparseVector}.
  */
 public class DenseSparseMatrix implements Matrix {
-    private static final long serialVersionUID = 1L;
 
     /**
      * Protobuf serialization version.
diff --git a/Math/src/main/java/org/tribuo/math/la/DenseVector.java b/Math/src/main/java/org/tribuo/math/la/DenseVector.java
index 2e473d74c..19b0b3113 100644
--- a/Math/src/main/java/org/tribuo/math/la/DenseVector.java
+++ b/Math/src/main/java/org/tribuo/math/la/DenseVector.java
@@ -47,7 +47,6 @@
  * A dense vector, backed by a double array.
  */
 public class DenseVector implements SGDVector {
-    private static final long serialVersionUID = 1L;
 
     /**
      * Protobuf serialization version.
diff --git a/Math/src/main/java/org/tribuo/math/la/SparseVector.java b/Math/src/main/java/org/tribuo/math/la/SparseVector.java
index 6b6b46fce..fa6acab6b 100644
--- a/Math/src/main/java/org/tribuo/math/la/SparseVector.java
+++ b/Math/src/main/java/org/tribuo/math/la/SparseVector.java
@@ -57,7 +57,6 @@
  * and will throw {@link IllegalArgumentException} if such an operation is tried.
  */
 public class SparseVector implements SGDVector {
-    private static final long serialVersionUID = 1L;
 
     /**
      * Protobuf serialization version.
diff --git a/Math/src/main/java/org/tribuo/math/neighbour/bruteforce/NeighboursBruteForceFactory.java b/Math/src/main/java/org/tribuo/math/neighbour/bruteforce/NeighboursBruteForceFactory.java
index 49cc66292..6cbd03db4 100644
--- a/Math/src/main/java/org/tribuo/math/neighbour/bruteforce/NeighboursBruteForceFactory.java
+++ b/Math/src/main/java/org/tribuo/math/neighbour/bruteforce/NeighboursBruteForceFactory.java
@@ -37,7 +37,6 @@
  */
 @ProtoSerializableClass(version = NeighboursBruteForceFactory.CURRENT_VERSION, serializedDataClass = BruteForceFactoryProto.class)
 public final class NeighboursBruteForceFactory implements NeighboursQueryFactory {
-    private static final long serialVersionUID = 1L;
 
     /**
      * Protobuf serialization version.
diff --git a/Math/src/main/java/org/tribuo/math/neighbour/kdtree/KDTreeFactory.java b/Math/src/main/java/org/tribuo/math/neighbour/kdtree/KDTreeFactory.java
index 8cfe247de..26ae381fb 100644
--- a/Math/src/main/java/org/tribuo/math/neighbour/kdtree/KDTreeFactory.java
+++ b/Math/src/main/java/org/tribuo/math/neighbour/kdtree/KDTreeFactory.java
@@ -37,7 +37,6 @@
  */
 @ProtoSerializableClass(version = KDTreeFactory.CURRENT_VERSION, serializedDataClass = KDTreeFactoryProto.class)
 public class KDTreeFactory implements NeighboursQueryFactory {
-    private static final long serialVersionUID = 1L;
 
     /**
      * Protobuf serialization version.
diff --git a/Math/src/main/java/org/tribuo/math/util/HeapMerger.java b/Math/src/main/java/org/tribuo/math/util/HeapMerger.java
index 54f77d726..c970a9be0 100644
--- a/Math/src/main/java/org/tribuo/math/util/HeapMerger.java
+++ b/Math/src/main/java/org/tribuo/math/util/HeapMerger.java
@@ -36,7 +36,6 @@
  * Relies upon {@link VectorIterator#compareTo(VectorIterator)}.
  */
 public class HeapMerger implements Merger {
-    private static final long serialVersionUID = 1L;
     private static final Logger logger = Logger.getLogger(HeapMerger.class.getName());
 
     /**
diff --git a/Math/src/main/java/org/tribuo/math/util/MatrixHeapMerger.java b/Math/src/main/java/org/tribuo/math/util/MatrixHeapMerger.java
index a802b6f3a..301166623 100644
--- a/Math/src/main/java/org/tribuo/math/util/MatrixHeapMerger.java
+++ b/Math/src/main/java/org/tribuo/math/util/MatrixHeapMerger.java
@@ -34,7 +34,6 @@
  * Relies upon {@link MatrixIterator#compareTo(MatrixIterator)}.
  */
 public class MatrixHeapMerger implements Merger {
-    private static final long serialVersionUID = 1L;
 
     private static final Logger logger = Logger.getLogger(MatrixHeapMerger.class.getName());
 
diff --git a/Math/src/main/java/org/tribuo/math/util/Normalizer.java b/Math/src/main/java/org/tribuo/math/util/Normalizer.java
index 32b955983..079a1055b 100644
--- a/Math/src/main/java/org/tribuo/math/util/Normalizer.java
+++ b/Math/src/main/java/org/tribuo/math/util/Normalizer.java
@@ -31,7 +31,6 @@
  * Normalizes, but first subtracts the minimum value (to ensure positivity).
  */
 public class Normalizer implements VectorNormalizer {
-    private static final long serialVersionUID = 1L;
 
     /**
      * Protobuf serialization version.
diff --git a/MultiLabel/Core/src/main/java/org/tribuo/multilabel/ImmutableMultiLabelInfo.java b/MultiLabel/Core/src/main/java/org/tribuo/multilabel/ImmutableMultiLabelInfo.java
index 3e46a6afd..d7e835177 100644
--- a/MultiLabel/Core/src/main/java/org/tribuo/multilabel/ImmutableMultiLabelInfo.java
+++ b/MultiLabel/Core/src/main/java/org/tribuo/multilabel/ImmutableMultiLabelInfo.java
@@ -40,8 +40,6 @@
 public class ImmutableMultiLabelInfo extends MultiLabelInfo implements ImmutableOutputInfo<MultiLabel> {
     private static final Logger logger = Logger.getLogger(ImmutableMultiLabelInfo.class.getName());
 
-    private static final long serialVersionUID = 1L;
-
     private final Map<Integer,String> idLabelMap;
 
     private final Map<String,Integer> labelIDMap;
diff --git a/MultiLabel/Core/src/main/java/org/tribuo/multilabel/MultiLabel.java b/MultiLabel/Core/src/main/java/org/tribuo/multilabel/MultiLabel.java
index 7dd4d7717..bafecaa71 100644
--- a/MultiLabel/Core/src/main/java/org/tribuo/multilabel/MultiLabel.java
+++ b/MultiLabel/Core/src/main/java/org/tribuo/multilabel/MultiLabel.java
@@ -51,7 +51,6 @@
  * common with ground-truth labels which usually do not supply scores.
  */
 public class MultiLabel implements Classifiable<MultiLabel> {
-    private static final long serialVersionUID = 1L;
 
     /**
      * The string for the binary negative label.
diff --git a/MultiLabel/Core/src/main/java/org/tribuo/multilabel/MultiLabelFactory.java b/MultiLabel/Core/src/main/java/org/tribuo/multilabel/MultiLabelFactory.java
index 961b10979..bedfa374a 100644
--- a/MultiLabel/Core/src/main/java/org/tribuo/multilabel/MultiLabelFactory.java
+++ b/MultiLabel/Core/src/main/java/org/tribuo/multilabel/MultiLabelFactory.java
@@ -41,7 +41,6 @@
  * A factory for generating MultiLabel objects and their associated OutputInfo and Evaluator objects.
  */
 public final class MultiLabelFactory implements OutputFactory<MultiLabel> {
-    private static final long serialVersionUID = 1L;
 
     /**
      * The sentinel unknown multi-label output used to signal there is no ground truth value.
diff --git a/MultiLabel/Core/src/main/java/org/tribuo/multilabel/MultiLabelInfo.java b/MultiLabel/Core/src/main/java/org/tribuo/multilabel/MultiLabelInfo.java
index 1d8737021..f3c11c9a4 100644
--- a/MultiLabel/Core/src/main/java/org/tribuo/multilabel/MultiLabelInfo.java
+++ b/MultiLabel/Core/src/main/java/org/tribuo/multilabel/MultiLabelInfo.java
@@ -37,7 +37,6 @@
  * The base class for information about {@link MultiLabel} outputs.
  */
 public abstract class MultiLabelInfo implements OutputInfo<MultiLabel> {
-    private static final long serialVersionUID = 1L;
 
     /**
      * The map of label occurrence counts.
diff --git a/MultiLabel/Core/src/main/java/org/tribuo/multilabel/MutableMultiLabelInfo.java b/MultiLabel/Core/src/main/java/org/tribuo/multilabel/MutableMultiLabelInfo.java
index 3cded1e03..904c42fe1 100644
--- a/MultiLabel/Core/src/main/java/org/tribuo/multilabel/MutableMultiLabelInfo.java
+++ b/MultiLabel/Core/src/main/java/org/tribuo/multilabel/MutableMultiLabelInfo.java
@@ -33,7 +33,6 @@
  */
 @ProtoSerializableClass(serializedDataClass=MutableMultiLabelInfoProto.class, version=0)
 public class MutableMultiLabelInfo extends MultiLabelInfo implements MutableOutputInfo<MultiLabel> {
-    private static final long serialVersionUID = 1L;
 
     /**
      * Package private constructor for building MutableMultiLabelInfo, used by {@link MultiLabelFactory}.
diff --git a/MultiLabel/Core/src/main/java/org/tribuo/multilabel/baseline/ClassifierChainModel.java b/MultiLabel/Core/src/main/java/org/tribuo/multilabel/baseline/ClassifierChainModel.java
index 52440ad7b..634ca9484 100644
--- a/MultiLabel/Core/src/main/java/org/tribuo/multilabel/baseline/ClassifierChainModel.java
+++ b/MultiLabel/Core/src/main/java/org/tribuo/multilabel/baseline/ClassifierChainModel.java
@@ -71,7 +71,6 @@
  * </pre>
  */
 public final class ClassifierChainModel extends Model<MultiLabel> {
-    private static final long serialVersionUID = 1L;
 
     /**
      * Protobuf serialization version.
diff --git a/MultiLabel/Core/src/main/java/org/tribuo/multilabel/baseline/IndependentMultiLabelModel.java b/MultiLabel/Core/src/main/java/org/tribuo/multilabel/baseline/IndependentMultiLabelModel.java
index a336d0dcf..b1b76f06d 100644
--- a/MultiLabel/Core/src/main/java/org/tribuo/multilabel/baseline/IndependentMultiLabelModel.java
+++ b/MultiLabel/Core/src/main/java/org/tribuo/multilabel/baseline/IndependentMultiLabelModel.java
@@ -55,7 +55,6 @@
  * the multi-label classification literature.
  */
 public class IndependentMultiLabelModel extends Model<MultiLabel> {
-    private static final long serialVersionUID = 1L;
 
     /**
      * Protobuf serialization version.
diff --git a/MultiLabel/Core/src/main/java/org/tribuo/multilabel/ensemble/MultiLabelVotingCombiner.java b/MultiLabel/Core/src/main/java/org/tribuo/multilabel/ensemble/MultiLabelVotingCombiner.java
index fbe031fef..4266b0171 100644
--- a/MultiLabel/Core/src/main/java/org/tribuo/multilabel/ensemble/MultiLabelVotingCombiner.java
+++ b/MultiLabel/Core/src/main/java/org/tribuo/multilabel/ensemble/MultiLabelVotingCombiner.java
@@ -51,7 +51,6 @@
  * This class is stateless and thread safe.
  */
 public final class MultiLabelVotingCombiner implements EnsembleCombiner<MultiLabel> {
-    private static final long serialVersionUID = 1L;
 
     /**
      * Protobuf serialization version.
diff --git a/MultiLabel/SGD/src/main/java/org/tribuo/multilabel/sgd/fm/FMMultiLabelModel.java b/MultiLabel/SGD/src/main/java/org/tribuo/multilabel/sgd/fm/FMMultiLabelModel.java
index 37ed19e7a..cfd8cf96e 100644
--- a/MultiLabel/SGD/src/main/java/org/tribuo/multilabel/sgd/fm/FMMultiLabelModel.java
+++ b/MultiLabel/SGD/src/main/java/org/tribuo/multilabel/sgd/fm/FMMultiLabelModel.java
@@ -52,7 +52,6 @@
  * </pre>
  */
 public class FMMultiLabelModel extends AbstractFMModel<MultiLabel> implements ONNXExportable {
-    private static final long serialVersionUID = 2L;
 
     /**
      * Protobuf serialization version.
diff --git a/MultiLabel/SGD/src/main/java/org/tribuo/multilabel/sgd/linear/LinearSGDModel.java b/MultiLabel/SGD/src/main/java/org/tribuo/multilabel/sgd/linear/LinearSGDModel.java
index 32eb3984d..b9f7b989e 100644
--- a/MultiLabel/SGD/src/main/java/org/tribuo/multilabel/sgd/linear/LinearSGDModel.java
+++ b/MultiLabel/SGD/src/main/java/org/tribuo/multilabel/sgd/linear/LinearSGDModel.java
@@ -52,7 +52,6 @@
  * </pre>
  */
 public class LinearSGDModel extends AbstractLinearSGDModel<MultiLabel> implements ONNXExportable {
-    private static final long serialVersionUID = 2L;
 
     /**
      * Protobuf serialization version.
diff --git a/Regression/Core/src/main/java/org/tribuo/regression/ImmutableRegressionInfo.java b/Regression/Core/src/main/java/org/tribuo/regression/ImmutableRegressionInfo.java
index 18021d2ce..ac388cd7c 100644
--- a/Regression/Core/src/main/java/org/tribuo/regression/ImmutableRegressionInfo.java
+++ b/Regression/Core/src/main/java/org/tribuo/regression/ImmutableRegressionInfo.java
@@ -47,8 +47,6 @@
 public class ImmutableRegressionInfo extends RegressionInfo implements ImmutableOutputInfo<Regressor> {
     private static final Logger logger = Logger.getLogger(ImmutableRegressionInfo.class.getName());
 
-    private static final long serialVersionUID = 2L;
-
     private final Map<Integer,String> idLabelMap;
 
     private final Map<String,Integer> labelIDMap;
diff --git a/Regression/Core/src/main/java/org/tribuo/regression/MutableRegressionInfo.java b/Regression/Core/src/main/java/org/tribuo/regression/MutableRegressionInfo.java
index 10c40ac6e..d788c3872 100644
--- a/Regression/Core/src/main/java/org/tribuo/regression/MutableRegressionInfo.java
+++ b/Regression/Core/src/main/java/org/tribuo/regression/MutableRegressionInfo.java
@@ -34,7 +34,6 @@
  * contain the same named dimensions.
  */
 public class MutableRegressionInfo extends RegressionInfo implements MutableOutputInfo<Regressor> {
-    private static final long serialVersionUID = 2L;
 
     MutableRegressionInfo() {
         super();
diff --git a/Regression/Core/src/main/java/org/tribuo/regression/RegressionFactory.java b/Regression/Core/src/main/java/org/tribuo/regression/RegressionFactory.java
index 80b3dd44b..6b80c6b0e 100644
--- a/Regression/Core/src/main/java/org/tribuo/regression/RegressionFactory.java
+++ b/Regression/Core/src/main/java/org/tribuo/regression/RegressionFactory.java
@@ -49,7 +49,6 @@
  * In most cases the default {@link RegressionFactory#DEFAULT_SPLIT_CHAR} is fine.
  */
 public final class RegressionFactory implements OutputFactory<Regressor> {
-    private static final long serialVersionUID = 2L;
 
     /**
      * The default character to split the string form of a multidimensional regressor.
diff --git a/Regression/Core/src/main/java/org/tribuo/regression/RegressionInfo.java b/Regression/Core/src/main/java/org/tribuo/regression/RegressionInfo.java
index 163ccecad..98d55589e 100644
--- a/Regression/Core/src/main/java/org/tribuo/regression/RegressionInfo.java
+++ b/Regression/Core/src/main/java/org/tribuo/regression/RegressionInfo.java
@@ -41,7 +41,6 @@
  * Stores the observed min, max, mean and variance for each dimension.
  */
 public abstract class RegressionInfo implements OutputInfo<Regressor> {
-    private static final long serialVersionUID = 2L;
 
     private static final MutableDouble NAN = new MutableDouble(Double.NaN);
 
diff --git a/Regression/Core/src/main/java/org/tribuo/regression/Regressor.java b/Regression/Core/src/main/java/org/tribuo/regression/Regressor.java
index 02732b7d5..a1886cbbe 100644
--- a/Regression/Core/src/main/java/org/tribuo/regression/Regressor.java
+++ b/Regression/Core/src/main/java/org/tribuo/regression/Regressor.java
@@ -54,7 +54,6 @@
  * </p>
  */
 public class Regressor implements Output<Regressor>, Iterable<Regressor.DimensionTuple> {
-    private static final long serialVersionUID = 1L;
 
     /**
      * The tolerance value for determining if two regressed values are equal.
@@ -548,7 +547,6 @@ public static Regressor createFromPairList(List<Pair<String,Double>> dimensions)
      * regression outputs.
      */
     public final static class DimensionTuple extends Regressor {
-        private static final long serialVersionUID = 1L;
 
         private final String name;
         private final double value;
diff --git a/Regression/Core/src/main/java/org/tribuo/regression/baseline/DummyRegressionModel.java b/Regression/Core/src/main/java/org/tribuo/regression/baseline/DummyRegressionModel.java
index 56a635dbe..80731dce8 100644
--- a/Regression/Core/src/main/java/org/tribuo/regression/baseline/DummyRegressionModel.java
+++ b/Regression/Core/src/main/java/org/tribuo/regression/baseline/DummyRegressionModel.java
@@ -47,7 +47,6 @@
  * A model which performs dummy regressions (e.g., constant output, gaussian sampled output, mean value, median, quartile).
  */
 public class DummyRegressionModel extends Model<Regressor> {
-    private static final long serialVersionUID = 2L;
 
     /**
      * Protobuf serialization version.
diff --git a/Regression/Core/src/main/java/org/tribuo/regression/ensemble/AveragingCombiner.java b/Regression/Core/src/main/java/org/tribuo/regression/ensemble/AveragingCombiner.java
index 486dc239b..b42e2fed6 100644
--- a/Regression/Core/src/main/java/org/tribuo/regression/ensemble/AveragingCombiner.java
+++ b/Regression/Core/src/main/java/org/tribuo/regression/ensemble/AveragingCombiner.java
@@ -43,7 +43,6 @@
  * regressors independently across the output dimensions.
  */
 public class AveragingCombiner implements EnsembleCombiner<Regressor> {
-    private static final long serialVersionUID = 1L;
 
     /**
      * Protobuf serialization version.
diff --git a/Regression/Core/src/main/java/org/tribuo/regression/impl/SkeletalIndependentRegressionModel.java b/Regression/Core/src/main/java/org/tribuo/regression/impl/SkeletalIndependentRegressionModel.java
index 3f3910656..0f297681b 100644
--- a/Regression/Core/src/main/java/org/tribuo/regression/impl/SkeletalIndependentRegressionModel.java
+++ b/Regression/Core/src/main/java/org/tribuo/regression/impl/SkeletalIndependentRegressionModel.java
@@ -33,7 +33,6 @@
  * a single regression dimension.
  */
 public abstract class SkeletalIndependentRegressionModel extends Model<Regressor> {
-    private static final long serialVersionUID = 1L;
 
     /**
      * The output dimension names.
diff --git a/Regression/Core/src/main/java/org/tribuo/regression/impl/SkeletalIndependentRegressionSparseModel.java b/Regression/Core/src/main/java/org/tribuo/regression/impl/SkeletalIndependentRegressionSparseModel.java
index fe37a706f..14a038fc6 100644
--- a/Regression/Core/src/main/java/org/tribuo/regression/impl/SkeletalIndependentRegressionSparseModel.java
+++ b/Regression/Core/src/main/java/org/tribuo/regression/impl/SkeletalIndependentRegressionSparseModel.java
@@ -35,7 +35,6 @@
  * a single regression dimension.
  */
 public abstract class SkeletalIndependentRegressionSparseModel extends SparseModel<Regressor> {
-    private static final long serialVersionUID = 1L;
 
     /**
      * The output dimension names.
diff --git a/Regression/LibLinear/src/main/java/org/tribuo/regression/liblinear/LibLinearRegressionModel.java b/Regression/LibLinear/src/main/java/org/tribuo/regression/liblinear/LibLinearRegressionModel.java
index 9a6a7c46b..e0b1fd13e 100644
--- a/Regression/LibLinear/src/main/java/org/tribuo/regression/liblinear/LibLinearRegressionModel.java
+++ b/Regression/LibLinear/src/main/java/org/tribuo/regression/liblinear/LibLinearRegressionModel.java
@@ -79,7 +79,6 @@
  * </pre>
  */
 public class LibLinearRegressionModel extends LibLinearModel<Regressor> implements ONNXExportable {
-    private static final long serialVersionUID = 2L;
 
     private static final Logger logger = Logger.getLogger(LibLinearRegressionModel.class.getName());
 
diff --git a/Regression/LibSVM/src/main/java/org/tribuo/regression/libsvm/LibSVMRegressionModel.java b/Regression/LibSVM/src/main/java/org/tribuo/regression/libsvm/LibSVMRegressionModel.java
index d3c7368c1..f92b5cf4c 100644
--- a/Regression/LibSVM/src/main/java/org/tribuo/regression/libsvm/LibSVMRegressionModel.java
+++ b/Regression/LibSVM/src/main/java/org/tribuo/regression/libsvm/LibSVMRegressionModel.java
@@ -77,7 +77,6 @@
  * </pre>
  */
 public class LibSVMRegressionModel extends LibSVMModel<Regressor> implements ONNXExportable {
-    private static final long serialVersionUID = 2L;
 
     /**
      * Protobuf serialization version.
diff --git a/Regression/LibSVM/src/main/java/org/tribuo/regression/libsvm/SVMRegressionType.java b/Regression/LibSVM/src/main/java/org/tribuo/regression/libsvm/SVMRegressionType.java
index 9feb804d5..9adf47f73 100644
--- a/Regression/LibSVM/src/main/java/org/tribuo/regression/libsvm/SVMRegressionType.java
+++ b/Regression/LibSVM/src/main/java/org/tribuo/regression/libsvm/SVMRegressionType.java
@@ -28,7 +28,6 @@
  * Supports C_SVC and NU_SVC.
  */
 public class SVMRegressionType implements SVMType<Regressor> {
-    private static final long serialVersionUID = 1L;
 
     /**
      * Type of regression SVM.
diff --git a/Regression/RegressionTree/src/main/java/org/tribuo/regression/rtree/IndependentRegressionTreeModel.java b/Regression/RegressionTree/src/main/java/org/tribuo/regression/rtree/IndependentRegressionTreeModel.java
index 252d54330..1d4dd04c8 100644
--- a/Regression/RegressionTree/src/main/java/org/tribuo/regression/rtree/IndependentRegressionTreeModel.java
+++ b/Regression/RegressionTree/src/main/java/org/tribuo/regression/rtree/IndependentRegressionTreeModel.java
@@ -58,7 +58,6 @@
  * to generate independent predictions for each dimension in a regression.
  */
 public final class IndependentRegressionTreeModel extends TreeModel<Regressor> {
-    private static final long serialVersionUID = 1L;
 
     /**
      * Protobuf serialization version.
diff --git a/Regression/RegressionTree/src/main/java/org/tribuo/regression/rtree/impl/JointRegressorTrainingNode.java b/Regression/RegressionTree/src/main/java/org/tribuo/regression/rtree/impl/JointRegressorTrainingNode.java
index 0259e4ff6..8e323943c 100644
--- a/Regression/RegressionTree/src/main/java/org/tribuo/regression/rtree/impl/JointRegressorTrainingNode.java
+++ b/Regression/RegressionTree/src/main/java/org/tribuo/regression/rtree/impl/JointRegressorTrainingNode.java
@@ -48,7 +48,6 @@
  * the current impurity and a bunch of other statistics.
  */
 public class JointRegressorTrainingNode extends AbstractTrainingNode<Regressor> {
-    private static final long serialVersionUID = 1L;
 
     private static final Logger logger = Logger.getLogger(JointRegressorTrainingNode.class.getName());
 
diff --git a/Regression/RegressionTree/src/main/java/org/tribuo/regression/rtree/impl/RegressorTrainingNode.java b/Regression/RegressionTree/src/main/java/org/tribuo/regression/rtree/impl/RegressorTrainingNode.java
index 6947b106b..4c9e5381b 100644
--- a/Regression/RegressionTree/src/main/java/org/tribuo/regression/rtree/impl/RegressorTrainingNode.java
+++ b/Regression/RegressionTree/src/main/java/org/tribuo/regression/rtree/impl/RegressorTrainingNode.java
@@ -49,7 +49,6 @@
  * the current impurity and a bunch of other statistics.
  */
 public class RegressorTrainingNode extends AbstractTrainingNode<Regressor> {
-    private static final long serialVersionUID = 1L;
 
     private static final Logger logger = Logger.getLogger(RegressorTrainingNode.class.getName());
 
diff --git a/Regression/SGD/src/main/java/org/tribuo/regression/sgd/fm/FMRegressionModel.java b/Regression/SGD/src/main/java/org/tribuo/regression/sgd/fm/FMRegressionModel.java
index 59eaad670..587531b39 100644
--- a/Regression/SGD/src/main/java/org/tribuo/regression/sgd/fm/FMRegressionModel.java
+++ b/Regression/SGD/src/main/java/org/tribuo/regression/sgd/fm/FMRegressionModel.java
@@ -51,7 +51,6 @@
  * </pre>
  */
 public class FMRegressionModel extends AbstractFMModel<Regressor> implements ONNXExportable {
-    private static final long serialVersionUID = 3L;
 
     /**
      * Protobuf serialization version.
diff --git a/Regression/SGD/src/main/java/org/tribuo/regression/sgd/linear/LinearSGDModel.java b/Regression/SGD/src/main/java/org/tribuo/regression/sgd/linear/LinearSGDModel.java
index d97aa4278..19c368b9c 100644
--- a/Regression/SGD/src/main/java/org/tribuo/regression/sgd/linear/LinearSGDModel.java
+++ b/Regression/SGD/src/main/java/org/tribuo/regression/sgd/linear/LinearSGDModel.java
@@ -50,7 +50,6 @@
  * </pre>
  */
 public class LinearSGDModel extends AbstractLinearSGDModel<Regressor> implements ONNXExportable {
-    private static final long serialVersionUID = 3L;
 
     /**
      * Protobuf serialization version.
diff --git a/Regression/SLM/src/main/java/org/tribuo/regression/slm/SparseLinearModel.java b/Regression/SLM/src/main/java/org/tribuo/regression/slm/SparseLinearModel.java
index fa4e7719b..7e8d35997 100644
--- a/Regression/SLM/src/main/java/org/tribuo/regression/slm/SparseLinearModel.java
+++ b/Regression/SLM/src/main/java/org/tribuo/regression/slm/SparseLinearModel.java
@@ -66,7 +66,6 @@
  * The type of the model depends on the trainer used.
  */
 public class SparseLinearModel extends SkeletalIndependentRegressionSparseModel implements ONNXExportable {
-    private static final long serialVersionUID = 3L;
     private static final Logger logger = Logger.getLogger(SparseLinearModel.class.getName());
 
     /**
diff --git a/Regression/XGBoost/src/main/java/org/tribuo/regression/xgboost/XGBoostRegressionConverter.java b/Regression/XGBoost/src/main/java/org/tribuo/regression/xgboost/XGBoostRegressionConverter.java
index ea6bc0449..f6f84c3ce 100644
--- a/Regression/XGBoost/src/main/java/org/tribuo/regression/xgboost/XGBoostRegressionConverter.java
+++ b/Regression/XGBoost/src/main/java/org/tribuo/regression/xgboost/XGBoostRegressionConverter.java
@@ -37,7 +37,6 @@
  */
 @ProtoSerializableClass(version = XGBoostRegressionConverter.CURRENT_VERSION)
 public final class XGBoostRegressionConverter implements XGBoostOutputConverter<Regressor> {
-    private static final long serialVersionUID = 1L;
 
     /**
      * Protobuf serialization version.

From d1c3eacb998e430ac7ddd49a42ea52937902a49c Mon Sep 17 00:00:00 2001
From: Adam Pocock <adam.pocock@oracle.com>
Date: Wed, 25 Dec 2024 11:23:15 -0500
Subject: [PATCH 9/9] Removing serialization from GMM.

---
 .../java/org/tribuo/clustering/gmm/GaussianMixtureModel.java   | 2 --
 .../GMM/src/test/java/org/tribuo/clustering/gmm/TestGMM.java   | 3 +--
 2 files changed, 1 insertion(+), 4 deletions(-)

diff --git a/Clustering/GMM/src/main/java/org/tribuo/clustering/gmm/GaussianMixtureModel.java b/Clustering/GMM/src/main/java/org/tribuo/clustering/gmm/GaussianMixtureModel.java
index e522cfeab..1f171185e 100644
--- a/Clustering/GMM/src/main/java/org/tribuo/clustering/gmm/GaussianMixtureModel.java
+++ b/Clustering/GMM/src/main/java/org/tribuo/clustering/gmm/GaussianMixtureModel.java
@@ -67,8 +67,6 @@
  * </pre>
  */
 public class GaussianMixtureModel extends Model<ClusterID> {
-    private static final long serialVersionUID = 1L;
-
     /**
      * Protobuf serialization version.
      */
diff --git a/Clustering/GMM/src/test/java/org/tribuo/clustering/gmm/TestGMM.java b/Clustering/GMM/src/test/java/org/tribuo/clustering/gmm/TestGMM.java
index a2fc3c13c..af2c237b5 100644
--- a/Clustering/GMM/src/test/java/org/tribuo/clustering/gmm/TestGMM.java
+++ b/Clustering/GMM/src/test/java/org/tribuo/clustering/gmm/TestGMM.java
@@ -90,7 +90,6 @@ public static void runEvaluation(GMMTrainer trainer) {
 
         GaussianMixtureModel model = trainer.train(data);
 
-        Helpers.testModelSerialization(model, ClusterID.class);
         Helpers.testModelProtoSerialization(model, ClusterID.class, test);
 
         ClusteringEvaluation trainEvaluation = eval.evaluate(model,data);
@@ -117,7 +116,7 @@ public static Model<ClusterID> runDenseData(GMMTrainer trainer) {
     @Test
     public void testDenseData() {
         Model<ClusterID> model = runDenseData(diagonal);
-        Helpers.testModelSerialization(model,ClusterID.class);
+        Helpers.testModelProtoSerialization(model, ClusterID.class);
     }
 
     @Test