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pypots

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a Python toolbox for machine learning on Partially-Observed Time Series

Installation

To install this package, run one of the following:

Conda
$conda install conda-forge::pypots

Usage Tracking

1.0
0.19
0.18
0.17
0.16
5 / 8 versions selected
Downloads (Last 6 months): 0

Description

PyPOTS is born to become a handy toolbox that is going to make data mining on POTS easy rather than tedious, to help engineers and researchers focus more on the core problems in their hands rather than on how to deal with the missing parts in their data. PyPOTS will keep integrating classical and the latest state-of-the-art data mining algorithms for partially-observed multivariate time series. For sure, besides various algorithms, PyPOTS is going to have unified APIs together with detailed documentation and interactive examples across algorithms as tutorials.

About

Summary

a Python toolbox for machine learning on Partially-Observed Time Series

Last Updated

Jul 8, 2025 at 18:25

License

BSD-3-Clause

Total Downloads

143.2K

Supported Platforms

noarch