Python API 0.9.0

[rstz]

0.9.0 - 2024-12-02

Breaking

• Classification Label classes are now consistently ordered lexicographically
  (for string labels) or increasingly (for integer labels).
• Change typo partial_depepence_plot to partial_dependence_plot on
  model.analyze().

Feature

• Add support for Avro file for path / distributed training with the "avro:"
  prefix.
• Add support for discretized numerical features for in-memory datasets.
• Expose MRR for ranking models.
• Add model.predict_class to generate the most likely predicted class of
  classification models.
• Add support for automatic feature selection with the feature_selector
  learner constructor argument. See the feature selection tutorial for
  more details.
• Add standalone prediction evaluation ydf.evaluate_predictions().
• Add new hyperparameter sparse_oblique_max_num_projections.
• Add options "POWER_OF_TWO" and "INTEGER" for sparse oblique weights.
• Emit proper errors when using lists for multi-dimensional features.

Fix

• Regression and Ranking CEPs scaling corrected.

Release music

The John B. Sails. Traditional

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This discussion was created from the release Python API 0.9.0.