removing database normalizing feature

src/main/java/org/aksw/word2vecrestful/tool/ModelNormalizer.java

@@ -9,7 +9,6 @@
 import java.nio.ByteBuffer;
 import java.nio.ByteOrder;
 import java.nio.charset.StandardCharsets;
-import java.sql.PreparedStatement;
 import java.sql.SQLException;
 
 import org.aksw.word2vecrestful.utils.Cfg;
@@ -97,58 +96,6 @@ public void generateNormalizedModel(File inputFile, File outputFile) throws IOEx
 		}
 	}
 
-	/**
-	 * Method to persist a normalized model for a word2vec bin model
-	 * 
-	 * @param inputFile
-	 *            - word2vec file of the model to be normalized
-	 * @param dbName
-	 *            - name of the database
-	 * @param tablName
-	 *            - name of the table to store the data in
-	 * @throws IOException
-	 * @throws SQLException
-	 */
-	public void persistNormalizedModel(File inputFile, String dbName, String tblName) throws IOException, SQLException {
-		// intialize handler instance
-		NormalizedDBModelGenerator dbHandler = null;
-
-		FileInputStream fin = null;
-		try {
-			// reads file header
-			fin = new FileInputStream(inputFile);
-			String word = Word2VecModelLoader.readWord(fin);
-			int words = Integer.parseInt(word);
-			word = Word2VecModelLoader.readWord(fin);
-			int vectorSize = Integer.parseInt(word);
-			dbHandler = new NormalizedDBModelGenerator(dbName, tblName, vectorSize);
-			// open connection
-			dbHandler.connect();
-			LOG.info("Expecting " + words + " words with " + vectorSize + " values per vector.");
-			// create preparedstatement
-			PreparedStatement ps = dbHandler.generateMainTblInsrtStmnt();
-			for (int w = 0; w < words; ++w) {
-				word = Word2VecModelLoader.readWord(fin);
-				// LOG.info(word);
-				float[] vector = Word2VecModelLoader.readVector(fin, vectorSize);
-				// dbHandler.insertMainTblRecord(word, vector);
-				dbHandler.addMainTblInsrtBatch(word, Word2VecMath.normalize(vector), ps);
-				if ((w + 1) % 50000 == 0) {
-					dbHandler.executeBatchCommit(ps);
-					LOG.info((w + 1) + " Records inserted.");
-				}
-			}
-			dbHandler.executeBatchCommit(ps);
-			// Generate Index on completion
-			dbHandler.makeIndex();
-		} catch (final IOException e) {
-			LOG.error(e.getLocalizedMessage(), e);
-		} finally {
-			fin.close();
-			dbHandler.disconnect();
-		}
-	}
-
 	/**
 	 * Method to generate a normalized model for a word2vec bin model
 	 * 
@@ -199,26 +146,6 @@ public void generateNormalizedBinModel(File inputFile, File outputFile) throws I
 		}
 	}
 
-	/*
-	 * public static void main(String[] args) throws IOException { String
-	 * cfgKeyModel = Word2VecFactory.class.getName().concat(".model"); String model
-	 * = (Cfg.get(cfgKeyModel)); ModelNormalizer modelNormalizer = new
-	 * ModelNormalizer(); File inputFile = new File(model); File outputFile = new
-	 * File(
-	 * "D:\\Nikit\\DICE-Group\\Jword2vec\\data\\normal\\GoogleNews-vectors-negative300-normalized.txt"
-	 * ); modelNormalizer.generateNormalizedModel(inputFile, outputFile); }
-	 */
-
-	/*
-	 * public static void main(String[] args) throws IOException, SQLException {
-	 * String cfgKeyModel = Word2VecFactory.class.getName().concat(".model"); String
-	 * model = (Cfg.get(cfgKeyModel)); ModelNormalizer modelNormalizer = new
-	 * ModelNormalizer(); File inputFile = new File(model); //
-	 * modelNormalizer.generateNormalizedModel(inputFile, outputFile);
-	 * modelNormalizer.persistNormalizedModel(inputFile,
-	 * "data/nrmldb/word2vecmodel", "wordtovec"); }
-	 */
-
 	public static void main(String[] args) throws IOException, SQLException {
 		String cfgKeyModel = Word2VecFactory.class.getName().concat(".model");
 		String model = (Cfg.get(cfgKeyModel));