/** * Copyright 2014, Emory University * * 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 edu.emory.clir.clearnlp.classification.instance; import java.io.InputStream; import edu.emory.clir.clearnlp.classification.vector.StringFeatureVector; import edu.emory.clir.clearnlp.reader.AbstractReader; /** * @since 3.0.0 * @author Jinho D. Choi ({@code jinho.choi@emory.edu}) */ public class StringInstanceReader extends AbstractInstanceReader<StringInstance,StringFeatureVector> { /** @param in internally wrapped by {@code new BufferedReader(new InputStreamReader(in));}. */ public StringInstanceReader(InputStream in) { super(in); } @Override protected StringFeatureVector createFeatureVector(String[] col) { return new StringFeatureVector(col.length > 2); } @Override protected StringInstance getInstance(String label, StringFeatureVector vector) { return new StringInstance(label, vector); } @Override protected void addFeature(StringFeatureVector vector, String[] col) { if (vector.hasWeight()) vector.addFeature(Integer.parseInt(col[0]), col[1], Double.parseDouble(col[2])); else vector.addFeature(Integer.parseInt(col[0]), col[1]); } @Override public AbstractReader<StringInstance> clone() { return null; } }