public class LossFunctions extends Object
Modifier and Type | Class and Description |
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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 and Description |
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LossFunctions() |
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