Package org.nd4j.linalg.lossfunctions

Interface Summary

Interface	Description
ILossFunction

Class Summary

Class	Description
LossFunctions
LossUtil
SameDiffLoss

Enum Summary

Enum

Description

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