Support cuML / scikit-learn RF classifiers in TreeExplainer #4447
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ajschmidt8
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Jan 18, 2022
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Looks like this PR also includes changes from #4484. Is that intentional? If so, we'll need to wait for that to merge before this can merge.
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@ajschmidt8 Yes, this is intentional, to show that the proposed changes in this PR are valid. We will need to wait until #4484 is merged. |
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Undoing accidentally pushed commits that should have been directed to #4473 |
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Jan 25, 2022
The 2.2.0 version of Treelite incorporates the following major improvements: * dmlc/treelite#314 * dmlc/treelite#322, dmlc/treelite#327 * dmlc/treelite#325 * dmlc/treelite#332 * dmlc/treelite#330 * dmlc/treelite#333 * dmlc/treelite#334 * dmlc/treelite#304 * dmlc/treelite#335 In particular, dmlc/treelite#332, dmlc/treelite#330, dmlc/treelite#333 are required for #4447. Requires rapidsai/integration#412. EDIT. Using 2.2.1 patch release, to incorporate a hotfix (dmlc/treelite#340). Authors: - Philip Hyunsu Cho (https://github.com/hcho3) Approvers: - AJ Schmidt (https://github.com/ajschmidt8) - Dante Gama Dessavre (https://github.com/dantegd) URL: #4484
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Codecov Report
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## branch-22.02 #4447 +/- ##
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Coverage ? 85.68%
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Files ? 236
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Hits ? 16567
Misses ? 2767
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@rapidsai/cuml-cmake-codeowners Can I get approval from one of you so that this can be merged? |
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Stacked on top of #4447. Do not merge until #4447 is merged first. ~If you'd like to review before #4447 is merged, look at the net diff at hcho3#2.~ - [x] Test XGBoost models with categorical splits - [x] Test LightGBM models with categorical splits Authors: - Philip Hyunsu Cho (https://github.com/hcho3) Approvers: - Dante Gama Dessavre (https://github.com/dantegd) URL: #4473
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The 2.2.0 version of Treelite incorporates the following major improvements: * dmlc/treelite#314 * dmlc/treelite#322, dmlc/treelite#327 * dmlc/treelite#325 * dmlc/treelite#332 * dmlc/treelite#330 * dmlc/treelite#333 * dmlc/treelite#334 * dmlc/treelite#304 * dmlc/treelite#335 In particular, dmlc/treelite#332, dmlc/treelite#330, dmlc/treelite#333 are required for rapidsai#4447. Requires rapidsai/integration#412. EDIT. Using 2.2.1 patch release, to incorporate a hotfix (dmlc/treelite#340). Authors: - Philip Hyunsu Cho (https://github.com/hcho3) Approvers: - AJ Schmidt (https://github.com/ajschmidt8) - Dante Gama Dessavre (https://github.com/dantegd) URL: rapidsai#4484
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Oct 9, 2023
…#4447) Add support for: - [x] cuML RF classifiers - [x] scikit-learn RF regressors - [x] scikit-learn RF classifiers TODOs - [x] Add test cases - [x] De-duplicate path extraction logic Requires dmlc/treelite#330 Authors: - Philip Hyunsu Cho (https://github.com/hcho3) Approvers: - William Hicks (https://github.com/wphicks) - Dante Gama Dessavre (https://github.com/dantegd) URL: rapidsai#4447
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Stacked on top of rapidsai#4447. Do not merge until rapidsai#4447 is merged first. ~If you'd like to review before rapidsai#4447 is merged, look at the net diff at hcho3#2.~ - [x] Test XGBoost models with categorical splits - [x] Test LightGBM models with categorical splits Authors: - Philip Hyunsu Cho (https://github.com/hcho3) Approvers: - Dante Gama Dessavre (https://github.com/dantegd) URL: rapidsai#4473
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Add support for:
TODOs
Requires dmlc/treelite#330