Module: tfl.categorical_calibration_layer
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Categorical calibration layer with monotonicity and bound constraints.
Keras implementation of tensorflow lattice categorical calibration layer. This
layer takes single or multi-dimensional input and transforms it using lookup
tables satisfying monotonicity and bounds constraints if specified.
Classes
class CategoricalCalibrationConstraints: Monotonicity and bounds constraints for categorical calibration layer.
Other Members |
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CATEGORICAL_CALIBRATION_KERNEL_NAME
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'categorical_calibration_kernel'
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DEFAULT_INPUT_VALUE_NAME
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'default_input_value'
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absolute_import
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Instance of __future__._Feature
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division
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Instance of __future__._Feature
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print_function
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Instance of __future__._Feature
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Last updated 2024-08-02 UTC.
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View source on GitHub