# Module: tfl
|---|
| [ View source on GitHub](https://github.com/tensorflow/lattice/blob/v2.1.1/tensorflow_lattice/__init__.py) |
Tensorflow Lattice Library.
This package provides functions and classes for lattice modeling.
## Modules
[`aggregation_layer`](https://www.tensorflow.org/lattice/api_docs/python/tfl/aggregation_layer) module: Layer which represents aggregation function.
[`categorical_calibration_layer`](https://www.tensorflow.org/lattice/api_docs/python/tfl/categorical_calibration_layer) module: Categorical calibration layer with monotonicity and bound constraints.
[`categorical_calibration_lib`](https://www.tensorflow.org/lattice/api_docs/python/tfl/categorical_calibration_lib) module: Helpers and computations of categorical calibration layer.
[`cdf_layer`](https://www.tensorflow.org/lattice/api_docs/python/tfl/cdf_layer) module: Projection free Cumulative Distribution Function layer.
[`conditional_cdf`](https://www.tensorflow.org/lattice/api_docs/python/tfl/conditional_cdf) module: Implements CDF transformation with derived parameters (kernels).
[`conditional_pwl_calibration`](https://www.tensorflow.org/lattice/api_docs/python/tfl/conditional_pwl_calibration) module: Implements PWLCalibration with derived parameters (kernels).
[`configs`](https://www.tensorflow.org/lattice/api_docs/python/tfl/configs) module: TFL model configuration library for canned estimators.
[`kronecker_factored_lattice_layer`](https://www.tensorflow.org/lattice/api_docs/python/tfl/kronecker_factored_lattice_layer) module: Kronecker-Factored Lattice layer with monotonicity constraints.
[`kronecker_factored_lattice_lib`](https://www.tensorflow.org/lattice/api_docs/python/tfl/kronecker_factored_lattice_lib) module: Algorithm implementations required for Kronecker-Factored Lattice layer.
[`lattice_layer`](https://www.tensorflow.org/lattice/api_docs/python/tfl/lattice_layer) module: Lattice layer with monotonicity, unimodality, trust and bound constraints.
[`lattice_lib`](https://www.tensorflow.org/lattice/api_docs/python/tfl/lattice_lib) module: Implementation of algorithms required for Lattice layer.
[`layers`](https://www.tensorflow.org/lattice/api_docs/python/tfl/layers) module: 'layers' namespace for TFL layers.
[`linear_layer`](https://www.tensorflow.org/lattice/api_docs/python/tfl/linear_layer) module: Layer which represents linear function. See class level comment.
[`linear_lib`](https://www.tensorflow.org/lattice/api_docs/python/tfl/linear_lib) module: Implementation of algorithms required for Linear layer.
[`model_info`](https://www.tensorflow.org/lattice/api_docs/python/tfl/model_info) module: Classes defining trained TFL model structure and parameter information.
[`parallel_combination_layer`](https://www.tensorflow.org/lattice/api_docs/python/tfl/parallel_combination_layer) module: ParallelCombination layer for combining several parallel calibration layers.
[`premade`](https://www.tensorflow.org/lattice/api_docs/python/tfl/premade) module: TF Lattice premade models implement typical monotonic model architectures.
[`premade_lib`](https://www.tensorflow.org/lattice/api_docs/python/tfl/premade_lib) module: Implementation of algorithms required for premade models.
[`pwl_calibration_layer`](https://www.tensorflow.org/lattice/api_docs/python/tfl/pwl_calibration_layer) module: Piecewise linear calibration layer.
[`pwl_calibration_lib`](https://www.tensorflow.org/lattice/api_docs/python/tfl/pwl_calibration_lib) module: Implementation of algorithms required for PWL calibration layer.
[`test_utils`](https://www.tensorflow.org/lattice/api_docs/python/tfl/test_utils) module: Helpers to train simple model for tests and print debug output.
[`utils`](https://www.tensorflow.org/lattice/api_docs/python/tfl/utils) module: Helpers shared by multiple modules in TFL.
| ## Other Members ||
|---|---|
| absolute_import | Instance of `__future__._Feature` |