/*
* 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.plugin.system;
import org.encog.EncogError;
import org.encog.engine.network.activation.ActivationFunction;
import org.encog.ml.MLMethod;
import org.encog.ml.data.MLDataSet;
import org.encog.ml.factory.MLMethodFactory;
import org.encog.ml.factory.method.BayesianFactory;
import org.encog.ml.factory.method.EPLFactory;
import org.encog.ml.factory.method.FeedforwardFactory;
import org.encog.ml.factory.method.NEATFactory;
import org.encog.ml.factory.method.PNNFactory;
import org.encog.ml.factory.method.RBFNetworkFactory;
import org.encog.ml.factory.method.SOMFactory;
import org.encog.ml.factory.method.SVMFactory;
import org.encog.ml.train.MLTrain;
import org.encog.plugin.EncogPluginBase;
import org.encog.plugin.EncogPluginService1;
/**
* The system machine learning methods plugin. This provides all of the
* built in machine learning methods for Encog.
*/
public class SystemMethodsPlugin implements EncogPluginService1 {
/**
* A factory used to create feedforward neural networks.
*/
private final FeedforwardFactory feedforwardFactory
= new FeedforwardFactory();
/**
* A factory used to create support vector machines.
*/
private final SVMFactory svmFactory = new SVMFactory();
/**
* A factory used to create RBF networks.
*/
private final RBFNetworkFactory rbfFactory = new RBFNetworkFactory();
/**
* The factory for PNN's.
*/
private final PNNFactory pnnFactory = new PNNFactory();
/**
* A factory used to create SOM's.
*/
private final SOMFactory somFactory = new SOMFactory();
/**
* A factory used to create Bayesian networks
*/
private final BayesianFactory bayesianFactory = new BayesianFactory();
/**
* A factory used to create NEAT populations.
*/
private final NEATFactory neatFactory = new NEATFactory();
/**
* A factory used to create EPL populations.
*/
private final EPLFactory eplFactory = new EPLFactory();
/**
* {@inheritDoc}
*/
@Override
public final String getPluginDescription() {
return "This plugin provides the built in machine " +
"learning methods for Encog.";
}
/**
* {@inheritDoc}
*/
@Override
public final String getPluginName() {
return "HRI-System-Methods";
}
/**
* @return This is a type-1 plugin.
*/
@Override
public final int getPluginType() {
return 1;
}
/**
* {@inheritDoc}
*/
@Override
public ActivationFunction createActivationFunction(String name) {
// TODO Auto-generated method stub
return null;
}
/**
* {@inheritDoc}
*/
@Override
public MLMethod createMethod(String methodType, String architecture,
int input, int output) {
if (MLMethodFactory.TYPE_FEEDFORWARD.equals(methodType)) {
return this.feedforwardFactory.create(architecture, input, output);
} else if (MLMethodFactory.TYPE_RBFNETWORK.equals(methodType)) {
return this.rbfFactory.create(architecture, input, output);
} else if (MLMethodFactory.TYPE_SVM.equals(methodType)) {
return this.svmFactory.create(architecture, input, output);
} else if (MLMethodFactory.TYPE_SOM.equals(methodType)) {
return this.somFactory.create(architecture, input, output);
} else if (MLMethodFactory.TYPE_PNN.equals(methodType)) {
return this.pnnFactory.create(architecture, input, output);
} else if (MLMethodFactory.TYPE_BAYESIAN.equals(methodType)) {
return this.bayesianFactory.create(architecture, input, output);
} else if (MLMethodFactory.TYPE_NEAT.equals(methodType)) {
return this.neatFactory.create(architecture, input, output);
} else if (MLMethodFactory.TYPE_EPL.equals(methodType)) {
return this.eplFactory.create(architecture, input, output);
}
throw new EncogError("Unknown method type: " + methodType);
}
/**
* {@inheritDoc}
*/
@Override
public MLTrain createTraining(MLMethod method, MLDataSet training,
String type, String args) {
return null;
}
/**
* {@inheritDoc}
*/
@Override
public int getPluginServiceType() {
return EncogPluginBase.TYPE_SERVICE;
}
}