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Multi-dimensional features can be selected / configured with the features=
training argument.
Programmatic access to partial dependence plots and variable importances.
Add model.to_tensorflow_function() function to convert a YDF model into a
TensorFlow function that can be combined with other TensorFlow operations.
This function is compatible with Keras 2 and Keras 3.
Add arguments servo_api=False and feed_example_proto=False for model.to_tensorflow_function(mode="tf") to export TensorFlow SavedModel
following respectively the Servo API and consuming serialized TensorFlow
Example protos.
Add pre_processing and post_processing arguments to the model.to_tensorflow_function function to pack pre/post processing
operations in a TensorFlow SavedModel.