1.3.0

Features

• Check learner parameters during the model construction.
• Fix discretized numerical features for regression task.
• Allow for float32 values to be fed as categorical features.
• Add new / improved tutorials for ranking and visualization.
• Compatibility with Tensorflow 2.12.0. Unfortunately, this means dropping
  support for Python 3.7.

Fix

• Fix crashes when using ranking with very large groups.
• Add option to set the port used by YDF in TF-DF distributed training.
• Improve logging robustness.