greycat.ml.neuralnet.loss

Class Losses

java.lang.Object

greycat.ml.neuralnet.loss.Losses

public class Losses
extends Object

Field Summary

Fields

Modifier and Type	Field and Description
static int	ABSTRACT_VALUE
static int	ARGMAX
static int	DEFAULT
static int	MEAN_SQUARED_ERROR
static int	MULTI_DIM_BINARY
static int	SOFTMAX
static int	SUM_OF_SQUARES

Constructor Summary

Constructors

Constructor and Description
Losses()

Method Summary

Modifier and Type	Method and Description
static double[]	avgLossPerOutput(DMatrix losses)
static double	avgOfLosses(DMatrix losses)
static Loss	getUnit(int lossUnit)
static void	inverseNormalizeError(DMatrix error, double[] std)
static void	processRMSErr(DMatrix err, int counter)
static double	sumOfLosses(DMatrix losses)
static double[]	sumOverOutputs(DMatrix losses)
static DMatrix	sumOverOutputsMatrix(DMatrix losses)

Methods inherited from class java.lang.Object

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

Field Detail

SUM_OF_SQUARES

public static final int SUM_OF_SQUARES

See Also:

Constant Field Values

ABSTRACT_VALUE

public static final int ABSTRACT_VALUE

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Constant Field Values

SOFTMAX

public static final int SOFTMAX

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Constant Field Values

ARGMAX

public static final int ARGMAX

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Constant Field Values

MULTI_DIM_BINARY

public static final int MULTI_DIM_BINARY

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Constant Field Values

MEAN_SQUARED_ERROR

public static final int MEAN_SQUARED_ERROR

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Constant Field Values

DEFAULT

public static final int DEFAULT

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Constant Field Values

Constructor Detail

Losses

public Losses()

Method Detail

getUnit

public static Loss getUnit(int lossUnit)

sumOverOutputsMatrix

public static DMatrix sumOverOutputsMatrix(DMatrix losses)

processRMSErr

public static void processRMSErr(DMatrix err,
                                 int counter)

inverseNormalizeError

public static void inverseNormalizeError(DMatrix error,
                                         double[] std)

sumOverOutputs

public static double[] sumOverOutputs(DMatrix losses)

sumOfLosses

public static double sumOfLosses(DMatrix losses)

avgOfLosses

public static double avgOfLosses(DMatrix losses)

avgLossPerOutput

public static double[] avgLossPerOutput(DMatrix losses)