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API for MinDiff losses.
Modules
kernels module: API for MinDiff kernels.
Classes
class AbsoluteCorrelationLoss: Absolute correlation between predictions on two groups of examples.
class AdjustedMMDLoss: Adjusted Maximum Mean Discrepancy between predictions on two groups of examples.
class GaussianKernel: Gaussian kernel class.
class LaplacianKernel: Laplacian kernel class.
class MMDLoss: Maximum Mean Discrepancy between predictions on two groups of examples.
class MinDiffKernel: MinDiffKernel abstract base class.
class MinDiffLoss: MinDiffLoss abstract base class.