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Java example source code file (EpsTermination.java)

This example Java source code file (EpsTermination.java) is included in the alvinalexander.com "Java Source Code Warehouse" project. The intent of this project is to help you "Learn Java by Example" TM.

Learn more about this Java project at its project page.

Java - Java tags/keywords

epstermination, object, override, terminationcondition

The EpsTermination.java Java example source code

/*
 *
 *  * Copyright 2015 Skymind,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.
 *
 */

package org.deeplearning4j.optimize.terminations;

import org.deeplearning4j.optimize.api.TerminationCondition;
import org.nd4j.linalg.factory.Nd4j;

/**
 * Epsilon termination (absolute change based on tolerance)
 *
 * @author Adam Gibson
 */
public class EpsTermination implements TerminationCondition {
    private double eps = 1e-4;
    private double tolerance = Nd4j.EPS_THRESHOLD;

    public EpsTermination(double eps, double tolerance) {
        this.eps = eps;
        this.tolerance = tolerance;
    }

    public EpsTermination() {
    }

    @Override
    public boolean terminate(double cost,double old, Object[] otherParams) {
       //special case for initial termination, ignore
        if(cost == 0 && old == 0)
           return false;

        if(otherParams.length >= 2) {
            double eps = (double) otherParams[0];
            double tolerance = (double) otherParams[1];
            return 2.0 * Math.abs(old-cost) <= tolerance*(Math.abs(old) + Math.abs(cost) + eps);
        }

        else
            return 2.0 * Math.abs(old  - cost) <= tolerance * (Math.abs(old) + Math.abs(cost) + eps);




    }
}

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