chefboost
Lightweight Decision Tree Framework Supporting GBM, Random Forest and Adaboost
Installation
In a virtualenv (see these instructions if you need to create one):
pip3 install chefboost
Releases
| Version | Released | Bullseye Python 3.9 |
Bookworm Python 3.11 |
Files |
|---|---|---|---|---|
| 0.0.19 | 2024-10-30 | |||
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| 0.0.18 | 2024-06-08 | |||
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| 0.0.17 | 2022-02-16 | |||
| 0.0.16 | 2022-01-12 | |||
| 0.0.15 | 2022-01-12 | |||
| 0.0.14 | 2022-01-08 | |||
| 0.0.13 | 2021-06-28 | |||
| 0.0.12 | 2021-06-27 | |||
| 0.0.11 | 2021-02-19 | |||
| 0.0.10 | 2020-12-27 | |||
| 0.0.9 | 2020-12-12 | |||
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| 0.0.8 | 2020-12-07 | |||
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| 0.0.7 | 2020-12-07 | |||
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| 0.0.6 | 2020-04-27 | |||
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| 0.0.5 | 2020-04-25 | |||
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| 0.0.4 | 2020-03-20 | |||
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| 0.0.3 | 2020-01-30 | |||
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| 0.0.1 | 2020-01-06 | |||
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