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@ikeuchi-screen ikeuchi-screen released this 16 Feb 10:10
v1.12.2
6583186
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Learn about vigilant mode.

New Features

  • Modified to enable the use of prior knowledge in the GPU-based DirectLiNGAM implementation. (#183)
  • Updated the utils.evaluate_model_fit function to re-estimate parameters when computing fit indices. (#184, thanks @nishikawa-screen)
  • Added support for causal explanation metrics based on LEWIS. (#186)

Examples

  • Updated the example notebook to visualize three types of distributions for estimated causal coefficients during bootstrapping: X->Y, Y->X, and no directed edge between X and Y. (#185, thanks @nishikawa-screen)

Code Fixes

  • Updated compatibility with changes to check_array arguments introduced in scikit-learn v1.8.

Installation

  • Improved the CI pipeline with the following changes:
    • Added checks on push.
    • Migrated from setup.py to pyproject.toml.

Contributors

nishikawa-screen
Assets 4
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