Tensorflow-decision-forests

Fix

- Solve dependency collision of YDF Proto between PYDF and TF-DF.

Fix

- Fix max_depth, early stopping parameter documentation.
- Fix plotting contains conditions.

Features

- Compatibility with TensorFlow 2.16.0rc0.
- Expose new parameter sparse_oblique_max_num_projections.
- Using tf_keras instead tf.keras in examples, documentation.
- Support NAConditions for fast engine.
- Faster model loading for models with many features and dense oblique
conditions.

Documentation

- Clarified documentation of parameters for oblique splits.

Fix

- Regression with Mean Squared Error loss and Mean Average error loss
incorrectly clamped the gradients, leading to incorrect predictions.

Features

- Compatibility with TensorFlow 2.15.0.
- Inspector support for uplifting.

Fix

- Less warnings emitted when loading a model.

Features

- Add support for monotonic constraints.
- Add support for Mean average error (MAE) loss.
- Add support for Poisson loss.

Breaking Changes

- TF-DF no longer supports Python 3.8 since Tensorflow dropped its support.

Features

- Compatibility with Tensorflow 2.14.0
- Contrib: Training preprocessing jointly on the input features, labels and
weights

Fix

- Incorrect model predictions for models without features
- Data race for model resources