/*
* Encog(tm) Core v3.3 - Java Version
* http://www.heatonresearch.com/encog/
* https://github.com/encog/encog-java-core
* Copyright 2008-2014 Heaton Research, Inc.
*
* 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.
*
* For more information on Heaton Research copyrights, licenses
* and trademarks visit:
* http://www.heatonresearch.com/copyright
*/
package org.encog.ml.factory.train;
import java.util.Map;
import org.encog.EncogError;
import org.encog.ml.MLMethod;
import org.encog.ml.data.MLDataSet;
import org.encog.ml.factory.parse.ArchitectureParse;
import org.encog.ml.svm.SVM;
import org.encog.ml.svm.training.SVMSearchTrain;
import org.encog.ml.train.MLTrain;
import org.encog.util.ParamsHolder;
/**
* A factory that creates SVM-search trainers.
*/
public class SVMSearchFactory {
/**
* Property for gamma.
*/
public static final String PROPERTY_GAMMA1 = "GAMMA1";
/**
* Property for constant.
*/
public static final String PROPERTY_C1 = "C1";
/**
* Property for gamma.
*/
public static final String PROPERTY_GAMMA2 = "GAMMA2";
/**
* Property for constant.
*/
public static final String PROPERTY_C2 = "C2";
/**
* Property for gamma.
*/
public static final String PROPERTY_GAMMA_STEP = "GAMMASTEP";
/**
* Property for constant.
*/
public static final String PROPERTY_C_STEP = "CSTEP";
/**
* Create a SVM trainer.
*
* @param method
* The method to use.
* @param training
* The training data to use.
* @param argsStr
* The arguments to use.
* @return The newly created trainer.
*/
public MLTrain create(final MLMethod method,
final MLDataSet training,
final String argsStr) {
if (!(method instanceof SVM)) {
throw new EncogError(
"SVM Train training cannot be used on a method of type: "
+ method.getClass().getName());
}
final Map<String, String> args = ArchitectureParse.parseParams(argsStr);
new ParamsHolder(args);
final ParamsHolder holder = new ParamsHolder(args);
final double gammaStart = holder.getDouble(SVMSearchFactory.PROPERTY_GAMMA1, false, SVMSearchTrain.DEFAULT_GAMMA_BEGIN);
final double cStart = holder.getDouble(SVMSearchFactory.PROPERTY_C1, false, SVMSearchTrain.DEFAULT_CONST_BEGIN);
final double gammaStop = holder.getDouble(SVMSearchFactory.PROPERTY_GAMMA2, false, SVMSearchTrain.DEFAULT_GAMMA_END);
final double cStop = holder.getDouble(SVMSearchFactory.PROPERTY_C2, false, SVMSearchTrain.DEFAULT_CONST_END);
final double gammaStep = holder.getDouble(SVMSearchFactory.PROPERTY_GAMMA_STEP, false, SVMSearchTrain.DEFAULT_GAMMA_STEP);
final double cStep = holder.getDouble(SVMSearchFactory.PROPERTY_C_STEP, false, SVMSearchTrain.DEFAULT_CONST_STEP);
final SVMSearchTrain result = new SVMSearchTrain((SVM)method, training);
result.setGammaBegin(gammaStart);
result.setGammaEnd(gammaStop);
result.setGammaStep(gammaStep);
result.setConstBegin(cStart);
result.setConstEnd(cStop);
result.setConstStep(cStep);
return result;
}
}