Release Python API 0.7.0 · google/yggdrasil-decision-forests

Python API 0.7.0 - 2024-08-21

Expose validate_hyperparameters() on the learner.
Clarify which parameters in the learner are optional.
Add support in JAX FeatureEncoder for non-string categorical feature values.
Improve performance of Isolation Forests.
Models can be serialized/deserialized to/from bytes with model.serialize()
and ydf.deserialize_model.
Models can be pickled safely.
Native support for Xarray as a dataset format for all operations (e.g.,
training, evaluation, predictions).
The output of model.to_jax_function can be converted to a TensorFlow Lite
model.
Change the default number of examples to scan when training on files to
determine the semantic and dictionaries of columns from 10k to 100k.
Various improvements of error messages.
Evaluation for Anomaly Detection models.
Oblique splits for Anomaly Detection models.

Fix parsing of multidimensional ragged inputs.
Fix isolation forest hyperparameter defaults.
Fix bug causing distributed training to fail on a sharded dataset containing
an empty shard.
Handle unordered categorical sets in training.
Fix dataspec ignoring definitions of unrolled columns, such as
multidimensional categorical integers.
Fix error when defining categorical sets for non-ragged multidimensional
inputs.
MacOS: Fix compatibility with other protobuf-using libraries such as
Tensorflow.

Rondo Alla ingharese quasi un capriccio "Die Wut über den verlorenen Groschen",
Op. 129. Ludwig van Beethoven