blob: 822b0ba1f26e941314a7d110f9bc1e2a099f90e4 [file] [log] [blame]
/**
* 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.horn.funcs;
import org.apache.hama.commons.math.FloatFloatFunction;
/**
* The cross entropy cost function.
*
* <pre>
* cost(t, y) = - t * log(y) - (1 - t) * log(1 - y),
* where t denotes the target value, y denotes the estimated value.
* </pre>
*/
public class CrossEntropy extends FloatFloatFunction {
private static final float epsilon = 1e-8f;
@Override
public float apply(float target, float actual) {
return -target * (float) Math.log(Math.max(actual, epsilon)) - (1 - target)
* (float) Math.log(Math.max(1 - actual, epsilon));
}
@Override
public float applyDerivative(float target, float actual) {
float adjustedTarget = (target == 0 ? 0.000001f : target);
adjustedTarget = (target == 1.0 ? 0.999999f : adjustedTarget);
float adjustedActual = (actual == 0 ? 0.000001f : actual);
adjustedActual = (actual == 1 ? 0.999999f : adjustedActual);
return -adjustedTarget / adjustedActual + (1 - adjustedTarget)
/ (1 - adjustedActual);
}
}