v1.10.1

1.10.1 - 2025-03-27

Fix

• Fix compatibility with TF 2.17.1.

v1.12.0

1.12.0 - 2025-03-13

Features

• Added support for Python 3.12.
• New hyperparameters for configuring sparse oblique splits:
  sparse_oblique_max_num_features, sparse_oblique_weights_integer_maximum,sparse_oblique_weights_integer_minimum,
  sparse_oblique_weights_power_of_two_max_exponent, sparse_oblique_weights_power_of_two_min_exponent.

Fix

• Fix compatibility with TF 2.19.0.
• Fix handling of categorical variables with non-unicode values.
• Fix compatibility with new YDF models.
• Various documentation improvements.

v1.11.0

1.11.0 - 2024-10-28

Feature

• Renamed LAMBDA_MART_NDCG5 loss to LAMBDA_MART_NDCG. The old loss is still
  available. The ndcg truncation can now be modified via a hyperparameter.
• Notify users about ydf during startup. This message can be disabled by
  setting Environment variable TFDF_DISABLE_WELCOME_MESSAGE.

Fix

• Some errors are now InvalidArgumentError instead of UnknownError.
• Fix compatibility with TF 2.18.0.

v1.10.0

1.10.0 - 2024-08-21

Fix

• Fix compatibility with TF 2.17.0.
• Fix MacOS build.

v1.9.2

1.9.2 - 2024-07-04

Fix

• Fix compatibility with TF 2.16.2.
• Fix build.

Known issues

• The MacOS build is currently not available due to an issue with a dependency.

v1.9.1

Fix

• Solve dependency collision of YDF Proto between PYDF and TF-DF.

v1.9.0

1.9.0 - 2024-03-12

Fix

• Fix max_depth, early stopping parameter documentation.
• Fix plotting contains conditions.

Features

• Compatibility with TensorFlow 2.16.0.
• Expose new parameter sparse_oblique_max_num_projections.
• Using tf_keras instead tf.keras in examples, documentation.
• Support NAConditions for fast engine.
• Faster model loading for models with many features and dense oblique
  conditions.

Documentation

• Clarified documentation of parameters for oblique splits.

v1.9.0rc0

1.9.0rc0 - 2024-02-26

Fix

• Fix max_depth, early stopping parameter documentation.
• Fix plotting contains conditions.

Features

• Compatibility with TensorFlow 2.16.0rc0.
• Compatibility with YDF 1.9.0
• Using tf_keras instead tf.keras in examples, documentation.
• Support NAConditions for fast engine.

1.8.1

1.8.1 - 2023-11-17

Fix

• Regression with Mean Squared Error loss and Mean Average error loss
  incorrectly clamped the gradients, leading to incorrect predictions.

v1.8.0

1.8.0 - 2023-11-15

Features

• Compatibility with TensorFlow 2.15.0.
• Inspector support for uplifting.

Fix

• Less warnings emitted when loading a model.