Tensorflow-lattice

Changes:

- Updating `keras` imports to use `tf_keras` (for TF >= 2.16 `tf.keras` defaults to Keras-3).
- Deprecating Estimators and Visualization library (removed in TF >= 2.16).
- All docs and tutorials converted to use Keras premade models instead of Estimators.

PyPI Release:

- Generic package for py3 and TF 2.x.

Changes:

- Updates to the visualization library to support newer versions of matplotlib.

PyPI Release:

- Generic package for py3 and TF 2.x.

Changes:

- Newly added conditional-CDF layer: A CDF function with derived parameters. This is similar to conditional-PWL, but the parameters are the shifts in the input space.
- Updates to model save/load functions to match changes in Keras lib.
- Removing Sonnet PWL module to simplify dependencies. The layer library code can still be wrapped in Sonnet modules by the user as needed.

PyPI Release:

- Generic package for py3 and TF 2.x.

Changes:
* Updating code, tests and tutorials to support changes to tf.keras.optimizers.
* Documentation updates.
* Minor bug fixes.

PyPI Release:
* Generic package for py3 that should work for TF 1.15 or TF 2.x.

Changes:
* Support for weighted quantiles for Estimators and Premade.
* Helper functions for computing quantiles in premade_lib
* Documentation updates.
* Minor bug fixes.

PyPI Release:
* Generic package for py3 that should work for TF 1.15 or TF 2.x.

Changes:
* (experimental) Cumulative Distribution Function (CDF) Layer that supports projection free monotonicity.
* 'input_keypoints_type' parameter for PWLCalibration integration with Premade/Estimator models.
* Estimator support for tf.data.Dataset inputs.
* General tutorial/code cleanup.
* Typo fixes.
* Bug fixes.

PyPI Release:
* Generic package for py3 that should work for TF 1.15 or TF 2.x.