/*
* Encog(tm) Java Examples v3.4
* http://www.heatonresearch.com/encog/
* https://github.com/encog/encog-java-examples
*
* 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.examples.proben;
import org.encog.Encog;
import org.encog.ml.factory.MLMethodFactory;
import org.encog.ml.factory.MLTrainFactory;
public class ProBen {
public final static String METHOD_NAME = MLMethodFactory.TYPE_FEEDFORWARD;
public final static String TRAINING_TYPE = MLTrainFactory.TYPE_RPROP;
public final static String METHOD_ARCHITECTURE = "?:B->RELU->40:B->LINEAR->?";
public final static String TRAINING_ARGS = "";
public static void main(String[] args) {
String probenPath = ProBenData.obtainProbenPath(args);
try {
EncogBenchmarkDefinition def = new EncogBenchmarkDefinition(
probenPath, METHOD_NAME, TRAINING_TYPE,
METHOD_ARCHITECTURE, TRAINING_ARGS);
ProBenRunner runner = new ProBenRunner(def);
System.out.println("Starting...");
runner.run();
Encog.getInstance().shutdown();
} catch (Exception ex) {
ex.printStackTrace();
}
}
}