0.8.0 - 2024-09-23

Breaking

Disallow positional parameters for the learners, except for label and task.
Remove the unsupported / invalid hyperparameters from the Isolation Forest
learner.
Remove parameters for distributed training and resuming training from
learners that do not support these capabilities.
By default, model.analyze for a maximum of 20 seconds (i.e.
maximum_duration=20 by default).
Convert boolean values in categorical sets to lowercase, matching the
treatment of categorical features.

Warn if training on a VerticalDataset and fail if attempting to modify the
columns in a VerticalDataset during training.
User can override the model's task, label or group during evaluation.
Add num_examples_per_tree() method to Isolation Forest models.
Expose the slow engine for debugging predictions and evaluations with
use_slow_engine=True.
Speed-up training of GBT models by ~10%.
Support for categorical and boolean features in Isolation Forests.
Add ydf.util.read_tf_record and ydf.util.write_tf_record to facilitate
TF Record datasets usage.
Rename LAMBDA_MART_NDCG5 to LAMBDA_MART_NDCG. The old name is deprecated but
can still be used.
Allow configuring the truncation of NDCG losses.
Enable multi-threading when using model.predict and model.evaluate.
Default number of threads of model.analyze is equal to the number of
cores.
Add multi-threaded results in model.benchmark.
Add argument to control the maximum duration of model.analyze.
Add support for Unicode strings, normalize categorical set values in the
same way as categorical values, and validate their types.
Add support for distributed training for ranking gradient boosted tree
models.

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