Add Built-in Support for Model Stacking #520
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December 12, 2024 00:13
- Updated API documentation to include `StackingModelConfig` and `StackingModel`. - Added a new tutorial notebook demonstrating model stacking in PyTorch Tabular, covering setup, configuration, training, and evaluation. - Enhanced existing documentation to explain the model stacking concept and its benefits. This commit improves the usability and understanding of the stacking functionality in the library.
…tion This commit removes the GatedAdditiveTreeEnsembleConfig lambda function from the get_model_configs function in the test_model_stacking.py file, streamlining the model configuration process. This change enhances code clarity and focuses on the relevant model configurations for stacking.
- Added a new entry for "Model Stacking" in the navigation structure. - Included a link to the tutorial notebook "tutorials/16-Model Stacking.ipynb" for users to learn about model stacking. This change enhances the documentation by providing users with direct access to resources related to model stacking.
- Removed unnecessary indentation for the "Model Stacking" entry in the navigation. - Maintained the link to the tutorial notebook "tutorials/16-Model Stacking.ipynb" for user access. This change improves the clarity of the documentation structure without altering the content.
- Changed the type annotation of model_configs from list[ModelConfig] to list
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@manujosephv |
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@manujosephv |
for more information, see https://pre-commit.ci
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@manujosephv |
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@taimo3810 Would you be able to run pytest locally before pushing? might be easier and quicker. I've approved the run this time, |
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@manujosephv |
manujosephv
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Dec 17, 2024
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Thanks for this great PR @taimo3810 . I love that you also added documentation and tutorials 😄 . Merging it! |
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ISSUE
#519
TODO
📚 Documentation preview 📚: https://pytorch-tabular--520.org.readthedocs.build/en/520/