Module: tfl.pwl_calibration_layer
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Piecewise linear calibration layer.
Keras implementation of tensorflow lattice pwl calibration layer. Layer takes
single or multi-dimensional input and transforms it using piecewise linear
functions following monotonicity, convexity/concavity and bounds constraints if
specified.
Classes
class HessianRegularizer: Hessian regularizer for PWL calibration layer.
class LaplacianRegularizer: Laplacian regularizer for PWL calibration layer.
class NaiveBoundsConstraints: Naively clips all elements of tensor to be within bounds.
class PWLCalibrationConstraints: Monotonicity and bounds constraints for PWL calibration layer.
class UniformOutputInitializer: Initializes PWL calibration layer to represent linear function.
class WrinkleRegularizer: Wrinkle regularizer for PWL calibration layer.
Other Members |
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INTERPOLATION_KEYPOINTS_NAME
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'interpolation_keypoints'
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INTERPOLATION_LOGITS_NAME
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'interpolation_logits'
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LENGTHS_NAME
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'lengths'
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MISSING_INPUT_VALUE_NAME
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'missing_input_value'
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PWL_CALIBRATION_KERNEL_NAME
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'pwl_calibration_kernel'
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PWL_CALIBRATION_MISSING_OUTPUT_NAME
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'pwl_calibration_missing_output'
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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