/*
* Encog(tm) Core v3.0 - Java Version
* http://www.heatonresearch.com/encog/
* http://code.google.com/p/encog-java/
* Copyright 2008-2011 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 org.encog.EncogError;
import org.encog.ml.MLMethod;
import org.encog.ml.data.MLDataSet;
import org.encog.ml.train.MLTrain;
import org.encog.neural.rbf.RBFNetwork;
import org.encog.neural.rbf.training.SVDTraining;
/**
* This factory is used to create a SVD trainer for an RBF network.
*/
public class RBFSVDFactory {
/**
* Create a RBF-SVD trainer.
*
* @param method
* The method to use.
* @param training
* The training data to use.
* @param args
* The arguments to use.
* @return The newly created trainer.
*/
public final MLTrain create(final MLMethod method,
final MLDataSet training,
final String args) {
if (!(method instanceof RBFNetwork)) {
throw new EncogError(
"RBF-SVD training cannot be used on a method of type: "
+ method.getClass().getName());
}
return new SVDTraining((RBFNetwork) method, training);
}
}