Many resources are needed to download a project. Please understand that we have to compensate our server costs. Thank you in advance. Project price only 1 $
You can buy this project and download/modify it how often you want.
/*-
*
* * 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.nd4j.linalg.api.ops.impl.accum;
import org.apache.commons.math3.util.FastMath;
import org.nd4j.linalg.api.complex.IComplexNumber;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ops.BaseAccumulation;
import org.nd4j.linalg.api.ops.Op;
/**
* Log Entropy Op - returns the entropy (information gain, or uncertainty of a random variable).
*
* @author [email protected]
*/
public class LogEntropy extends BaseAccumulation {
public LogEntropy() {}
public LogEntropy(INDArray x, INDArray y, INDArray z, long n) {
super(x, y, z, n);
}
public LogEntropy(INDArray x, INDArray y, long n) {
super(x, y, n);
}
public LogEntropy(INDArray x) {
super(x);
}
public LogEntropy(INDArray x, INDArray y) {
super(x, y);
}
public LogEntropy(INDArray x, INDArray y, INDArray z) {
super(x, y, z, x.lengthLong());
}
@Override
public double update(double accum, double x) {
return accum + x;
}
@Override
public double update(double accum, double x, double y) {
return accum + x;
}
@Override
public float update(float accum, float x) {
return accum + x;
}
@Override
public float update(float accum, float x, float y) {
return accum + x;
}
@Override
public IComplexNumber update(IComplexNumber accum, double x) {
return accum.add(x);
}
@Override
public IComplexNumber update(IComplexNumber accum, double x, double y) {
return accum.add(x);
}
@Override
public IComplexNumber update(IComplexNumber accum, IComplexNumber x) {
return accum.add(x);
}
@Override
public IComplexNumber update(IComplexNumber accum, IComplexNumber x, IComplexNumber y) {
return accum.add(x);
}
@Override
public IComplexNumber update(IComplexNumber accum, IComplexNumber x, double y) {
return accum.add(x);
}
@Override
public double op(double origin) {
return FastMath.log(FastMath.pow(origin, 2));
}
@Override
public float op(float origin) {
return (float) FastMath.log(FastMath.pow(origin, 2));
}
@Override
public int opNum() {
return 17;
}
@Override
public String name() {
return "logentropy";
}
@Override
public IComplexNumber op(IComplexNumber origin, IComplexNumber other) {
throw new UnsupportedOperationException();
}
@Override
public IComplexNumber op(IComplexNumber origin, float other) {
throw new UnsupportedOperationException();
}
@Override
public IComplexNumber op(IComplexNumber origin, double other) {
throw new UnsupportedOperationException();
}
@Override
public IComplexNumber op(IComplexNumber origin) {
throw new UnsupportedOperationException();
}
@Override
public Op opForDimension(int index, int dimension) {
INDArray xAlongDimension = x.vectorAlongDimension(index, dimension);
if (y() != null)
return new LogEntropy(xAlongDimension, y.vectorAlongDimension(index, dimension), xAlongDimension.length());
else
return new LogEntropy(xAlongDimension);
}
@Override
public Op opForDimension(int index, int... dimension) {
INDArray xAlongDimension = x.tensorAlongDimension(index, dimension);
if (y() != null)
return new LogEntropy(xAlongDimension, y.tensorAlongDimension(index, dimension), xAlongDimension.length());
else
return new LogEntropy(xAlongDimension);
}
}