org.deeplearning4j.text.movingwindow.WordConverter Maven / Gradle / Ivy
/*
*
* * Copyright 2015 Skymind,Inc.
* *
* * Licensed 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.deeplearning4j.text.movingwindow;
import org.deeplearning4j.models.word2vec.Word2Vec;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.factory.Nd4j;
import org.nd4j.linalg.util.FeatureUtil;
import java.util.ArrayList;
import java.util.List;
public class WordConverter {
private List sentences = new ArrayList<>();
private Word2Vec vec;
private List windows;
public WordConverter(List sentences,Word2Vec vec) {
this.sentences = sentences;
this.vec = vec;
}
public static INDArray toInputMatrix(List windows,Word2Vec vec) {
int columns = vec.lookupTable().layerSize() * vec.getWindow();
int rows = windows.size();
INDArray ret = Nd4j.create(rows,columns);
for(int i = 0; i < rows; i++) {
ret.putRow(i, WindowConverter.asExampleMatrix(windows.get(i),vec));
}
return ret;
}
public INDArray toInputMatrix() {
List windows = allWindowsForAllSentences();
return toInputMatrix(windows,vec);
}
public static INDArray toLabelMatrix(List labels,List windows) {
int columns = labels.size();
INDArray ret = Nd4j.create(windows.size(),columns);
for(int i = 0; i < ret.rows(); i++) {
ret.putRow(i, FeatureUtil.toOutcomeVector(labels.indexOf(windows.get(i).getLabel()), labels.size()));
}
return ret;
}
public INDArray toLabelMatrix(List labels) {
List windows = allWindowsForAllSentences();
return toLabelMatrix(labels,windows);
}
private List allWindowsForAllSentences() {
if(windows != null)
return windows;
windows = new ArrayList<>();
for(String s : sentences)
if(!s.isEmpty())
windows.addAll(Windows.windows(s));
return windows;
}
}