gyund / fundamental-analysis

Aggregate and modularize efficient and reliable tools for performing fundamental analysis on US securities
https://gyund.github.io/fundamental-analysis/
Eclipse Public License 2.0
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Bump tensorflow-decision-forests from 1.3.0 to 1.9.1 #224

Closed dependabot[bot] closed 2 months ago

dependabot[bot] commented 3 months ago

Bumps tensorflow-decision-forests from 1.3.0 to 1.9.1.

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.

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

  • Add support for monotonic constraints.
  • Add support for Mean average error (MAE) loss.

... (truncated)

Commits
  • ca91a9a Release YDF 0.4.3 and TF-DF 1.9.1
  • 12f70f5 [TF-DF] Add a test to ensure an error is thrown when the train & test dataset...
  • bffa547 Doc update.
  • 98edb7d Doc update.
  • 652c176 Store the training dataset feature dtypes and use it when exporting a model t...
  • 1961f90 Create and use 2.17 toolchains in Docker build containers.
  • 8520e31 [TF-DF] Fix link to Variable importance documentation
  • c6f54fd No longer install tf_keras in tutorials
  • 7d9a245 Prepare release of TF-DF 1.9.0 and update installation instructions
  • 632d813 Merge pull request #211 from tensorflow:mac-release-updates
  • Additional commits viewable in compare view


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dependabot[bot] commented 2 months ago

Superseded by #247.