Bump tensorflow-decision-forests from 1.3.0 to 1.9.2

[dependabot[bot]]

Bumps tensorflow-decision-forests from 1.3.0 to 1.9.2.

Release notes

Sourced from tensorflow-decision-forests's releases.

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 - 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

... (truncated)

Changelog

Sourced from tensorflow-decision-forests's changelog.

Changelog

1.9.1 - 2024-05-07

Fix

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

1.9.0 - 2024-03-12

Fix

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

Features

• Compatibility with TensorFlow 2.16.0rc0.
• 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.

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.

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.

1.7.0 - 2023-10-20

Features

... (truncated)

Commits

• See full diff in compare view

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