/**
* 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.AbstractFeatureVector;
/**
* @since 3.0.0
* @author Jinho D. Choi ({@code jinho.choi@emory.edu})
*/
abstract public class AbstractInstance<F extends AbstractFeatureVector>
{
private String s_label;
private F f_vector;
public AbstractInstance(String label, F vector)
{
set(label, vector);
}
public String getLabel()
{
return s_label;
}
public F getFeatureVector()
{
return f_vector;
}
public void set(String label, F vector)
{
setLabel(label);
setFeatureVector(vector);
}
public void setLabel(String label)
{
s_label = label;
}
public void setFeatureVector(F vector)
{
f_vector = vector;
}
public boolean isLabel(String label)
{
return s_label.equals(label);
}
public String toString()
{
return s_label + AbstractFeatureVector.DELIM_FEATURE + f_vector.toString();
}
}