Module: tfl.categorical_calibration_layer

Stay organized with collections Save and categorize content based on your preferences.

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.

CATEGORICAL_CALIBRATION_KERNEL_NAME 'categorical_calibration_kernel'
DEFAULT_INPUT_VALUE_NAME 'default_input_value'
absolute_import Instance of __future__._Feature
division Instance of __future__._Feature
print_function Instance of __future__._Feature