Package org.nd4j.linalg.lossfunctions

Class LossFunctions

java.lang.Object

org.nd4j.linalg.lossfunctions.LossFunctions

public class LossFunctions
extends Object

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	LossFunctions.LossFunction	MSE: Mean Squared Error: Linear Regression - LossMSE l1: L1 loss (absolute value) - LossL1 XENT: Cross Entropy: Binary Classification - LossBinaryXENT MCXENT: Multiclass Cross Entropy - LossMCXENT SPARSE_MCXENT: Sparse multi-class cross entropy - LossSparseMCXENT SQUARED_LOSS: Alias for mean squared error - LossMSE NEGATIVELOGLIKELIHOOD: Negative Log Likelihood - LossNegativeLogLikelihood COSINE_PROXIMITY: Cosine proximity loss - LossCosineProximity HINGE: Hinge loss - LossHinge SQUARED_HINGE: Squared hinge loss - LossSquaredHinge KL_DIVERGENCE: Kullback-Leibler divergence loss - LossKLD MEAN_ABSOLUTE_ERROR: mean absolute error loss - LossMAE L2: L2 loss (sum of squared errors) - LossL2 MEAN_ABSOLUTE_PERCENTAGE_ERROR: MAPE loss - LossMAPE MEAN_SQUARED_LOGARITHMIC_ERROR: MSLE loss - LossMSLE POISSON: Poisson loss - LossPoisson WASSERSTEIN: Wasserstein loss - LossWasserstein

Constructor Summary

Constructors

Constructor	Description
LossFunctions()

Method Summary

Methods inherited from class java.lang.Object

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

Constructor Detail

LossFunctions

public LossFunctions()