Module: model_remediation.min_diff.losses
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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.
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Last updated 2022-05-11 UTC.
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