org.deeplearning4j.nn.gradient

Class LogisticRegressionGradient

java.lang.Object

org.deeplearning4j.nn.gradient.LogisticRegressionGradient

All Implemented Interfaces:

Serializable

public class LogisticRegressionGradient
extends Object
implements Serializable

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
LogisticRegressionGradient(org.jblas.DoubleMatrix wGradient, org.jblas.DoubleMatrix bGradient)

Method Summary

Methods

Modifier and Type	Method and Description
void	add(LogisticRegressionGradient gradient) Sums this gradient with the given one
void	div(int num) Divies the gradient by the given number (used in averaging)
boolean	equals(Object obj)
org.jblas.DoubleMatrix	getbGradient()
org.jblas.DoubleMatrix	getwGradient()
int	hashCode()
void	setbGradient(org.jblas.DoubleMatrix bGradient)
void	setwGradient(org.jblas.DoubleMatrix wGradient)

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

LogisticRegressionGradient

public LogisticRegressionGradient(org.jblas.DoubleMatrix wGradient,
                          org.jblas.DoubleMatrix bGradient)

Method Detail

div

public void div(int num)

Divies the gradient by the given number (used in averaging)

Parameters:

num - the number to divide by

add

public void add(LogisticRegressionGradient gradient)

Sums this gradient with the given one

Parameters:

gradient - the gradient to add

hashCode

public int hashCode()

Overrides:

hashCode in class Object

equals

public boolean equals(Object obj)

Overrides:

equals in class Object

getwGradient

public org.jblas.DoubleMatrix getwGradient()

setwGradient

public void setwGradient(org.jblas.DoubleMatrix wGradient)

getbGradient

public org.jblas.DoubleMatrix getbGradient()

setbGradient

public void setbGradient(org.jblas.DoubleMatrix bGradient)