/*
* Encog(tm) Core v2.5 - Java Version
* http://www.heatonresearch.com/encog/
* http://code.google.com/p/encog-java/
* Copyright 2008-2010 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.engine.network.train.gradient;
import org.encog.engine.concurrency.EngineTask;
import org.encog.engine.network.flat.FlatNetwork;
/**
* An interface used to define gradient workers for flat networks.
*
*/
public interface FlatGradientWorker extends EngineTask {
/**
* @return The weights for this worker.
*/
double[] getWeights();
/**
* @return The network being trained by this thread.
*/
FlatNetwork getNetwork();
/**
* @return The elapsed time for the last iteration of this worker.
*/
long getElapsedTime();
}