Improve vector leaf performance #311
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hcho3
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Sep 16, 2021
hcho3
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Sep 16, 2021
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There is some problem with Conda environment. Let me sort that out. |
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Sep 17, 2021
Codecov Report
@@ Coverage Diff @@
## mainline #311 +/- ##
==============================================
- Coverage 85.20% 84.29% -0.91%
Complexity 46 46
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Files 108 108
Lines 8157 8126 -31
Branches 466 466
==============================================
- Hits 6950 6850 -100
- Misses 1182 1251 +69
Partials 25 25
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@RAMitchell I've fixed the CI. We should be able to merge this PR soon. |
This was referenced Sep 20, 2021
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Sep 23, 2021
The 2.1.0 version of Treelite incorporates the following major improvements: * dmlc/treelite#311 * dmlc/treelite#302 * dmlc/treelite#303 * dmlc/treelite#296 In particular, dmlc/treelite#311 is a critical follow-up to #4191 and addresses a performance regression. Requires rapidsai/integration#353 Authors: - Philip Hyunsu Cho (https://github.com/hcho3) Approvers: - Jordan Jacobelli (https://github.com/Ethyling) - Dante Gama Dessavre (https://github.com/dantegd) URL: #4220
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Oct 9, 2023
The 2.1.0 version of Treelite incorporates the following major improvements: * dmlc/treelite#311 * dmlc/treelite#302 * dmlc/treelite#303 * dmlc/treelite#296 In particular, dmlc/treelite#311 is a critical follow-up to rapidsai#4191 and addresses a performance regression. Requires rapidsai/integration#353 Authors: - Philip Hyunsu Cho (https://github.com/hcho3) Approvers: - Jordan Jacobelli (https://github.com/Ethyling) - Dante Gama Dessavre (https://github.com/dantegd) URL: rapidsai#4220
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On a large random forest problem, this improves Treelite model generation time from ~650s to 1s.