/*
* Encog(tm) Core v3.4 - Java Version
* http://www.heatonresearch.com/encog/
* https://github.com/encog/encog-java-core
* Copyright 2008-2016 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.MLTrainFactory;
import org.encog.ml.factory.train.AnnealFactory;
import org.encog.ml.factory.train.BackPropFactory;
import org.encog.ml.factory.train.ClusterSOMFactory;
import org.encog.ml.factory.train.EPLGAFactory;
import org.encog.ml.factory.train.GeneticFactory;
import org.encog.ml.factory.train.LMAFactory;
import org.encog.ml.factory.train.ManhattanFactory;
import org.encog.ml.factory.train.NEATGAFactory;
import org.encog.ml.factory.train.NeighborhoodSOMFactory;
import org.encog.ml.factory.train.NelderMeadFactory;
import org.encog.ml.factory.train.PNNTrainFactory;
import org.encog.ml.factory.train.PSOFactory;
import org.encog.ml.factory.train.QuickPropFactory;
import org.encog.ml.factory.train.RBFSVDFactory;
import org.encog.ml.factory.train.RPROPFactory;
import org.encog.ml.factory.train.SCGFactory;
import org.encog.ml.factory.train.SVMFactory;
import org.encog.ml.factory.train.SVMSearchFactory;
import org.encog.ml.factory.train.TrainBayesianFactory;
import org.encog.ml.train.MLTrain;
import org.encog.plugin.EncogPluginBase;
import org.encog.plugin.EncogPluginService1;
public class SystemTrainingPlugin implements EncogPluginService1 {
/**
* The factory for K2
*/
private final TrainBayesianFactory bayesianFactory = new TrainBayesianFactory();
/**
* The factory for backprop.
*/
private final BackPropFactory backpropFactory = new BackPropFactory();
/**
* The factory for LMA.
*/
private final LMAFactory lmaFactory = new LMAFactory();
/**
* The factory for RPROP.
*/
private final RPROPFactory rpropFactory = new RPROPFactory();
/**
* THe factory for basic SVM.
*/
private final SVMFactory svmFactory = new SVMFactory();
/**
* The factory for SVM-Search.
*/
private final SVMSearchFactory svmSearchFactory = new SVMSearchFactory();
/**
* The factory for SCG.
*/
private final SCGFactory scgFactory = new SCGFactory();
/**
* The factory for simulated annealing.
*/
private final AnnealFactory annealFactory = new AnnealFactory();
/**
* Nelder Mead Factory.
*/
private final NelderMeadFactory nmFactory = new NelderMeadFactory();
/**
* The factory for neighborhood SOM.
*/
private final NeighborhoodSOMFactory neighborhoodFactory
= new NeighborhoodSOMFactory();
/**
* The factory for SOM cluster.
*/
private final ClusterSOMFactory somClusterFactory = new ClusterSOMFactory();
/**
* The factory for genetic.
*/
private final GeneticFactory geneticFactory = new GeneticFactory();
/**
* The factory for Manhattan networks.
*/
private final ManhattanFactory manhattanFactory = new ManhattanFactory();
/**
* Factory for SVD.
*/
private final RBFSVDFactory svdFactory = new RBFSVDFactory();
/**
* Factory for PNN.
*/
private final PNNTrainFactory pnnFactory = new PNNTrainFactory();
/**
* Factory for quickprop.
*/
private final QuickPropFactory qpropFactory = new QuickPropFactory();
private final PSOFactory psoFactory = new PSOFactory();
private final NEATGAFactory neatGAFactory = new NEATGAFactory();
private final EPLGAFactory eplTrainFctory = new EPLGAFactory();
/**
* {@inheritDoc}
*/
@Override
public final String getPluginDescription() {
return "This plugin provides the built in training " +
"methods for Encog.";
}
/**
* {@inheritDoc}
*/
@Override
public final String getPluginName() {
return "HRI-System-Training";
}
/**
* @return This is a type-1 plugin.
*/
@Override
public final int getPluginType() {
return 1;
}
/**
* This plugin does not support activation functions, so it will
* always return null.
* @return Null, because this plugin does not support activation functions.
*/
@Override
public ActivationFunction createActivationFunction(String name) {
return null;
}
@Override
public MLMethod createMethod(String methodType, String architecture,
int input, int output) {
// TODO Auto-generated method stub
return null;
}
@Override
public MLTrain createTraining(MLMethod method, MLDataSet training,
String type, String args) {
String args2 = args;
if (args2 == null) {
args2 = "";
}
if (MLTrainFactory.TYPE_RPROP.equalsIgnoreCase(type)) {
return this.rpropFactory.create(method, training, args2);
} else if (MLTrainFactory.TYPE_BACKPROP.equalsIgnoreCase(type)) {
return this.backpropFactory.create(method, training, args2);
} else if (MLTrainFactory.TYPE_SCG.equalsIgnoreCase(type)) {
return this.scgFactory.create(method, training, args2);
} else if (MLTrainFactory.TYPE_LMA.equalsIgnoreCase(type)) {
return this.lmaFactory.create(method, training, args2);
} else if (MLTrainFactory.TYPE_SVM.equalsIgnoreCase(type)) {
return this.svmFactory.create(method, training, args2);
} else if (MLTrainFactory.TYPE_SVM_SEARCH.equalsIgnoreCase(type)) {
return this.svmSearchFactory.create(method, training, args2);
} else if (MLTrainFactory.TYPE_SOM_NEIGHBORHOOD.equalsIgnoreCase(
type)) {
return this.neighborhoodFactory.create(method, training, args2);
} else if (MLTrainFactory.TYPE_ANNEAL.equalsIgnoreCase(type)) {
return this.annealFactory.create(method, training, args2);
} else if (MLTrainFactory.TYPE_GENETIC.equalsIgnoreCase(type)) {
return this.geneticFactory.create(method, training, args2);
} else if (MLTrainFactory.TYPE_SOM_CLUSTER.equalsIgnoreCase(type)) {
return this.somClusterFactory.create(method, training, args2);
} else if (MLTrainFactory.TYPE_MANHATTAN.equalsIgnoreCase(type)) {
return this.manhattanFactory.create(method, training, args2);
} else if (MLTrainFactory.TYPE_SVD.equalsIgnoreCase(type)) {
return this.svdFactory.create(method, training, args2);
} else if (MLTrainFactory.TYPE_PNN.equalsIgnoreCase(type)) {
return this.pnnFactory.create(method, training, args2);
} else if (MLTrainFactory.TYPE_QPROP.equalsIgnoreCase(type)) {
return this.qpropFactory.create(method, training, args2);
} else if (MLTrainFactory.TYPE_BAYESIAN.equals(type) ) {
return this.bayesianFactory.create(method, training, args2);
} else if (MLTrainFactory.TYPE_NELDER_MEAD.equals(type) ) {
return this.nmFactory.create(method, training, args2);
} else if (MLTrainFactory.TYPE_PSO.equals(type) ) {
return this.psoFactory.create(method, training, args2);
} else if (MLTrainFactory.TYPE_NEAT_GA.equals(type) ) {
return this.neatGAFactory.create(method, training, args2);
} else if (MLTrainFactory.TYPE_EPL_GA.equals(type) ) {
return this.eplTrainFctory.create(method, training, args2);
}
else {
throw new EncogError("Unknown training type: " + type);
}
}
/**
* {@inheritDoc}
*/
@Override
public int getPluginServiceType() {
return EncogPluginBase.TYPE_SERVICE;
}
}
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