Interface | Description |
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ILossFunction |
Interface for loss functions
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Class | Description |
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LossFunctions |
Central class for loss functions
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LossUtil |
Created by Alex on 14/09/2016.
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Enum | Description |
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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 |
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