/**
* 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.configuration;
/**
* @since 3.0.0
* @author Jinho D. Choi ({@code jinho.choi@emory.edu})
*/
public class LiblinearTrainerConfiguration extends DefaultTrainerConfiguration
{
private double d_cost;
private double d_eps;
private double d_bias;
public LiblinearTrainerConfiguration(byte vectorType, boolean binary, int labelCutoff, int featureCutoff, int numberOfThreads, double cost, double epsilon, double bias)
{
super(vectorType, binary, labelCutoff, featureCutoff, numberOfThreads);
setCost(cost);
setEpsilon(epsilon);
setBias(bias);
}
public double getCost()
{
return d_cost;
}
public double getEpsilon()
{
return d_eps;
}
public double getBias()
{
return d_bias;
}
public void setCost(double cost)
{
d_cost = cost;
}
public void setEpsilon(double eps)
{
d_eps = eps;
}
public void setBias(double bias)
{
d_bias = bias;
}
}