Releases: tensorflow/decision-forests
Releases · tensorflow/decision-forests
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
v1.9.2
v1.9.1
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
v1.8.0
v1.6.0
1.6.0 2023-09-27
Breaking Changes
- TF-DF no longer supports Python 3.8 since Tensorflow dropped its support.
Features
- Compatibility with Tensorflow 2.14.0
- Contrib: Training preprocessing jointly on the input features, labels and
weights
Fix
- Incorrect model predictions for models without features
- Data race for model resources