Upgrade to Treelite 1.3.0 #270
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May 14, 2021
Upgrade to Treelite 1.3.0 to take advantage of the following new features: * Faster model import for scikit-learn tree models (dmlc/treelite#264). Fixes #3768 * Binary serializer to a file stream (dmlc/treelite#270, dmlc/treelite#273) * [EXPERIMENTAL] Add GTIL, reference inference backend (dmlc/treelite#274) Make progress towards #3853 Depends on rapidsai/integration#270 Authors: - Philip Hyunsu Cho (https://github.com/hcho3) Approvers: - William Hicks (https://github.com/wphicks) - AJ Schmidt (https://github.com/ajschmidt8) - Dante Gama Dessavre (https://github.com/dantegd) URL: #3855
vimarsh6739
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Oct 9, 2023
Upgrade to Treelite 1.3.0 to take advantage of the following new features: * Faster model import for scikit-learn tree models (dmlc/treelite#264). Fixes rapidsai#3768 * Binary serializer to a file stream (dmlc/treelite#270, dmlc/treelite#273) * [EXPERIMENTAL] Add GTIL, reference inference backend (dmlc/treelite#274) Make progress towards rapidsai#3853 Depends on rapidsai/integration#270 Authors: - Philip Hyunsu Cho (https://github.com/hcho3) Approvers: - William Hicks (https://github.com/wphicks) - AJ Schmidt (https://github.com/ajschmidt8) - Dante Gama Dessavre (https://github.com/dantegd) URL: rapidsai#3855
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Required by rapidsai/cuml#3855. See the CI result in rapidsai/cuml#3855 which is testing cuML with Treelite 1.3.0.