tfl.categorical_calibration_lib.project

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.

Args
`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]`.

Returns
Projected `weights` tensor.

Raises
`ValueError`	If monotonicities are not of the correct format or are circular.

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Last updated 2024-08-02 UTC.

Args