alessandrobenedetti commented on code in PR #12169: URL: https://github.com/apache/lucene/pull/12169#discussion_r1143203290
########## lucene/analysis/common/src/java/org/apache/lucene/analysis/synonym/word2vec/Word2VecModel.java: ########## @@ -0,0 +1,93 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one or more + * contributor license agreements. See the NOTICE file distributed with + * this work for additional information regarding copyright ownership. + * The ASF licenses this file to You under the Apache License, Version 2.0 + * (the "License"); you may not use this file except in compliance with + * the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.lucene.analysis.synonym.word2vec; + +import java.io.IOException; +import java.util.HashMap; +import java.util.Map; +import org.apache.lucene.util.BytesRef; +import org.apache.lucene.util.TermAndVector; +import org.apache.lucene.util.hnsw.RandomAccessVectorValues; + +/** + * Word2VecModel is a class representing the parsed Word2Vec model containing the vectors for each + * word in dictionary + * + * @lucene.experimental + */ +public class Word2VecModel implements RandomAccessVectorValues<float[]> { + + private final int dictionarySize; + private final int vectorDimension; + private final TermAndVector[] data; + private final Map<BytesRef, TermAndVector> word2Vec; + private int loadedCount = 0; + + public Word2VecModel(int dictionarySize, int vectorDimension) { + this.dictionarySize = dictionarySize; + this.vectorDimension = vectorDimension; + this.data = new TermAndVector[dictionarySize]; + this.word2Vec = new HashMap<>(); + } + + private Word2VecModel( + int dictionarySize, + int vectorDimension, + TermAndVector[] data, + Map<BytesRef, TermAndVector> word2Vec) { + this.dictionarySize = dictionarySize; + this.vectorDimension = vectorDimension; + this.data = data; + this.word2Vec = word2Vec; + } + + public void addTermAndVector(TermAndVector modelEntry) { + modelEntry.normalizeVector(); + this.data[loadedCount++] = modelEntry; + this.word2Vec.put(modelEntry.getTerm(), modelEntry); + } + + @Override + public float[] vectorValue(int ord) throws IOException { + return data[ord].getVector(); + } + + public float[] vectorValue(BytesRef term) { + TermAndVector entry = word2Vec.get(term); + return (entry == null) ? null : entry.getVector(); + } + + public BytesRef binaryValue(int targetOrd) throws IOException { + return data[targetOrd].getTerm(); + } + + @Override + public int dimension() { + return vectorDimension; + } + + @Override + public int size() { + return dictionarySize; + } + + @Override + public RandomAccessVectorValues<float[]> copy() throws IOException { Review Comment: if this copy is meant to do a deep copy, I suspect we'll need to handle it differently, I am not sure it's copying the internal elements, but reusing them? So a copy could end up adding elements to data structures used by the original Object? -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: issues-unsubscr...@lucene.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@lucene.apache.org For additional commands, e-mail: issues-h...@lucene.apache.org
