org.apache.ignite.ml.composition.boosting.loss

Class LogLoss

java.lang.Object

org.apache.ignite.ml.composition.boosting.loss.LogLoss

All Implemented Interfaces:

Serializable, Loss

public class LogLoss
extends Object
implements Loss

Logistic regression loss function.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
LogLoss()

Method Summary

Modifier and Type	Method and Description
double	error(long sampleSize, double answer, double prediction) Error value for model answer.
double	gradient(long sampleSize, double answer, double prediction) Error gradient value for model answer.

Methods inherited from class java.lang.Object

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

Constructor Detail

LogLoss

public LogLoss()

Method Detail

error

public double error(long sampleSize,
                    double answer,
                    double prediction)

Error value for model answer.

Specified by:

error in interface Loss

Parameters:

sampleSize - Sample size.

answer - Label.

prediction - Model answer.

Returns:

error value.

gradient

public double gradient(long sampleSize,
                       double answer,
                       double prediction)

Error gradient value for model answer.

Specified by:

gradient in interface Loss

Parameters:

sampleSize - Sample size.

answer - Label.

prediction - Model answer.

Returns:

error value.