Changing method calls

src/main/java/org/aksw/word2vecrestful/word2vec/W2VNrmlMemModelBinSrch.java

@@ -44,12 +44,16 @@ protected W2VNrmlMemModelBinSrch() {
 	public W2VNrmlMemModelBinSrch(final Map<String, float[]> word2vec, final int vectorSize) throws IOException {
 		this.word2vec = word2vec;
 		this.vectorSize = vectorSize;
+		initVars();
+		// process();
+	}
+
+	public void initVars() {
 		comparisonVecs = new float[compareVecCount][vectorSize];
 		csBucketContainer = new BitSet[compareVecCount][bucketCount];
-		process();
 	}
 
-	protected void process() throws IOException {
+	public void process() throws IOException {
 		LOG.info("Process from BinSrch called");
 		// Setting mean as comparison vec
 		setMeanComparisonVec(word2vec, vectorSize);
@@ -280,4 +284,20 @@ public Map<String, float[]> getWord2VecMap() {
 		return this.word2vec;
 	}
 
+	public int getCompareVecCount() {
+		return compareVecCount;
+	}
+
+	public void setCompareVecCount(int compareVecCount) {
+		this.compareVecCount = compareVecCount;
+	}
+
+	public int getBucketCount() {
+		return bucketCount;
+	}
+
+	public void setBucketCount(int bucketCount) {
+		this.bucketCount = bucketCount;
+	}
+
 }

src/main/java/org/aksw/word2vecrestful/word2vec/W2VNrmlMemModelKMeans.java

@@ -39,23 +39,23 @@
 public class W2VNrmlMemModelKMeans extends W2VNrmlMemModelBinSrch {
 	public static Logger LOG = LogManager.getLogger(GenWord2VecModel.class);
 
-	private static final int KMEANS_MAX_ITR = 5;
-	private static final String VEC_FILEPATH = Cfg.get(W2VNrmlMemModelKMeans.class.getName().concat(".filepath"));
+	private int kMeansMaxItr = 5;
+	private String vecFilePath = Cfg.get(W2VNrmlMemModelKMeans.class.getName().concat(".filepath"));
 
 	public W2VNrmlMemModelKMeans(final Map<String, float[]> word2vec, final int vectorSize) throws IOException {
 		super(word2vec, vectorSize);
 	}
 
 	@Override
-	protected void process() throws IOException {
+	public void process() throws IOException {
 		LOG.info("Process from KMeans called");
 		fetchComparisonVectors();
 		// Initialize Arrays
 		processCosineSim();
 	}
 
 	private void fetchComparisonVectors() throws IOException {
-		File vecFile = new File(VEC_FILEPATH);
+		File vecFile = new File(vecFilePath);
 		if (vecFile.exists()) {
 			LOG.info("Reading Comparsion vectors from the file.");
 			// read the persisted vectors
@@ -73,7 +73,7 @@ private void fetchComparisonVectors() throws IOException {
 
 	private void generateComparisonVectors() {
 		KMeansPlusPlusClusterer<ClusterableVec> clusterer = new KMeansPlusPlusClusterer<>(compareVecCount,
-				KMEANS_MAX_ITR);
+				kMeansMaxItr);
 		List<ClusterableVec> vecList = new ArrayList<>();
 		for (float[] vec : word2vec.values()) {
 			vecList.add(getClusterablePoint(vec));
@@ -177,4 +177,21 @@ public static float[] convertToFloatArr(String[] vec) {
 		return resArr;
 	}
 
+	// Getter and Setters
+	public int getkMeansMaxItr() {
+		return kMeansMaxItr;
+	}
+
+	public void setkMeansMaxItr(int kMeansMaxItr) {
+		this.kMeansMaxItr = kMeansMaxItr;
+	}
+
+	public String getVecFilePath() {
+		return vecFilePath;
+	}
+
+	public void setVecFilePath(String vecFilePath) {
+		this.vecFilePath = vecFilePath;
+	}
+
 }

src/test/java/org/aksw/word2vecrestful/NrmlzdThetaMdlPrfmncTester.java

@@ -34,12 +34,13 @@ public void testNbmTime() throws IOException {
 		LOG.info("Starting InMemory Theta Model test!");
 		Word2VecModel nbm = Word2VecFactory.getNormalBinModel();
 		float[][] centroids = TEST_CENTROIDS;
-		//float[][] centroids = fetchWordsVec(TEST_WORDS, nbm);
+		// float[][] centroids = fetchWordsVec(TEST_WORDS, nbm);
 		LOG.info("Starting BruteForce-Model Test");
 		List<String> correctWords = getCorrectWords(centroids, nbm);
 		LOG.info("Correct Words are :" + correctWords);
 		LOG.info("Initializing W2VNrmlMemModelKMeans Model");
 		final W2VNrmlMemModelKMeans memModel = new W2VNrmlMemModelKMeans(nbm.word2vec, nbm.vectorSize);
+		memModel.process();
 		List<String> lrModelWords = new ArrayList<>();
 
 		LOG.info("Starting W2VNrmlMemModelKMeans Test");
@@ -66,7 +67,7 @@ private static float[][] fetchWordsVec(String[] words, Word2VecModel nbm) {
 		}
 		return resVec;
 	}
-	
+
 	public static float calcPercScore(List<String> correctWordSet, List<String> lrModelWords) {
 		float percScore = 0;
 		int len = correctWordSet.size();
@@ -79,7 +80,7 @@ public static float calcPercScore(List<String> correctWordSet, List<String> lrMo
 		return percScore;
 
 	}
-	
+
 	public static List<String> getCorrectWords(float[][] centroids, Word2VecModel nbm) {
 		List<String> wordSet = new ArrayList<>();
 		W2VNrmlMemModelBruteForce bruteForce = new W2VNrmlMemModelBruteForce(nbm.word2vec, nbm.vectorSize);