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benchpots

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A Python Toolbox for Benchmarking Machine Learning on Partially-Observed Time Series

Installation

To install this package, run one of the following:

Conda
$conda install conda-forge::benchpots

Usage Tracking

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0.2.1
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Downloads (Last 6 months): 0

Description

To evaluate the performance of algorithms on POTS datasets, a benchmarking toolkit is necessary, hence the ecosystem library BenchPOTS is developed. BenchPOTS provides the standard and unified preprocessing pipelines of a variety of POTS datasets. It supports a variety of evaluation tasks to help users understand the performance of different algorithms.

About

Summary

A Python Toolbox for Benchmarking Machine Learning on Partially-Observed Time Series

Last Updated

Apr 5, 2025 at 16:26

License

BSD-3-Clause

Total Downloads

84.3K

Supported Platforms

noarch