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