/**
* 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 edu.emory.clir.clearnlp.classification.vector.StringFeatureVector;
import edu.emory.clir.clearnlp.collection.map.IntObjectHashMap;
import edu.emory.clir.clearnlp.collection.map.ObjectIntHashMap;
/**
* @since 3.0.0
* @author Jinho D. Choi ({@code jinho.choi@emory.edu})
*/
public class StringInstanceCollector extends AbstractInstanceCollector<StringInstance, StringFeatureVector>
{
private IntObjectHashMap<ObjectIntHashMap<String>> m_features;
@Override
public void init()
{
initDefault();
m_features = new IntObjectHashMap<ObjectIntHashMap<String>>();
}
@Override
protected void addFeatures(StringFeatureVector vector)
{
int i, type, size = vector.size();
ObjectIntHashMap<String> map;
String value;
for (i=0; i<size; i++)
{
type = vector.getType(i);
value = vector.getValue(i);
map = m_features.get(type);
if (map == null)
{
map = new ObjectIntHashMap<String>();
m_features.put(type, map);
}
map.add(value);
}
}
public IntObjectHashMap<ObjectIntHashMap<String>> getFeatureMap()
{
return m_features;
}
}