/**
* 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;
}
}