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Tensorflow Lattice Library.
This package provides functions and classes for lattice modeling.
Modules
aggregation_layer module: Layer which represents aggregation function.
categorical_calibration_layer module: Categorical calibration layer with monotonicity and bound constraints.
categorical_calibration_lib module: Helpers and computations of categorical calibration layer.
cdf_layer module: Projection free Cumulative Distribution Function layer.
conditional_cdf module: Implements CDF transformation with derived parameters (kernels).
conditional_pwl_calibration module: Implements PWLCalibration with derived parameters (kernels).
configs module: TFL model configuration library for canned estimators.
kronecker_factored_lattice_layer module: Kronecker-Factored Lattice layer with monotonicity constraints.
kronecker_factored_lattice_lib module: Algorithm implementations required for Kronecker-Factored Lattice layer.
lattice_layer module: Lattice layer with monotonicity, unimodality, trust and bound constraints.
lattice_lib module: Implementation of algorithms required for Lattice layer.
layers module: 'layers' namespace for TFL layers.
linear_layer module: Layer which represents linear function. See class level comment.
linear_lib module: Implementation of algorithms required for Linear layer.
model_info module: Classes defining trained TFL model structure and parameter information.
parallel_combination_layer module: ParallelCombination layer for combining several parallel calibration layers.
premade module: TF Lattice premade models implement typical monotonic model architectures.
premade_lib module: Implementation of algorithms required for premade models.
pwl_calibration_layer module: Piecewise linear calibration layer.
pwl_calibration_lib module: Implementation of algorithms required for PWL calibration layer.
test_utils module: Helpers to train simple model for tests and print debug output.
utils module: Helpers shared by multiple modules in TFL.
Other Members | |
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| absolute_import |
Instance of __future__._Feature
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