skforecast
Skforecast is a Python library for time series forecasting using machine learning models. It works with any regressor compatible with the scikit-learn API, including popular options like LightGBM, XG…
Installation
In a virtualenv (see these instructions if you need to create one):
pip3 install skforecast
Releases
Version | Released | Bullseye Python 3.9 |
Bookworm Python 3.11 |
Files |
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0.16.0 | 2025-05-01 | |||
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0.15.1 | 2025-03-18 | |||
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0.15.0 | 2025-03-10 | |||
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0.14.0 | 2024-11-11 | |||
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0.13.0 | 2024-08-01 | |||
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0.12.1 | 2024-05-20 | |||
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0.12.0 | 2024-05-05 | |||
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0.11.0 | 2023-11-16 | |||
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0.10.1 | 2023-09-26 | |||
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0.10.0 | 2023-09-07 | |||
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0.9.1 | 2023-07-14 | |||
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0.9.0 | 2023-07-09 | |||
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0.8.1 | 2023-05-27 | |||
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0.8.0 | 2023-05-16 | |||
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0.7.0 | 2023-03-21 | |||
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0.6.0 | 2022-11-30 | |||
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0.5.1 | 2022-10-05 | |||
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0.5.0 | 2022-09-23 | |||
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0.4.3 | 2022-03-18 | |||
0.4.2 | 2022-01-08 | |||
0.4.1 | 2021-12-13 | |||
0.3.0 | 2021-09-01 | |||
0.2.0 | 2021-08-26 | |||
0.1.9 | 2021-08-05 | |||
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