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/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You 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 org.apache.commons.math3.ml.neuralnet.sofm;
import java.util.Iterator;
import org.apache.commons.math3.ml.neuralnet.Network;
/**
* Trainer for Kohonen's Self-Organizing Map.
*
* @since 3.3
*/
public class KohonenTrainingTask implements Runnable {
/** SOFM to be trained. */
private final Network net;
/** Training data. */
private final Iterator<double[]> featuresIterator;
/** Update procedure. */
private final KohonenUpdateAction updateAction;
/**
* Creates a (sequential) trainer for the given network.
*
* @param net Network to be trained with the SOFM algorithm.
* @param featuresIterator Training data iterator.
* @param updateAction SOFM update procedure.
*/
public KohonenTrainingTask(Network net,
Iterator<double[]> featuresIterator,
KohonenUpdateAction updateAction) {
this.net = net;
this.featuresIterator = featuresIterator;
this.updateAction = updateAction;
}
/**
* {@inheritDoc}
*/
public void run() {
while (featuresIterator.hasNext()) {
updateAction.update(net, featuresIterator.next());
}
}
}
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