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Monotonicity/bounds constraints implementation for categorical calibration.
tfl.categorical_calibration_lib.project( weights, output_min, output_max, monotonicities )
Returns the approximate L2 projection of the CategoricalCalibration weights into the constrained parameter space.
weights: Tensor which represents weights of Categorical calibration layer.
output_min: Lower bound constraint on weights.
output_max: Upper bound constraint on weights.
monotonicities: List of pair of indices
(i, j), indicating constraint
weight[i] <= weight[j].
ValueError: If monotonicities are not of the correct format or are circular.