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timefiller

Community

A package for imputing missing data in time series, or forecasting in missing data contexts

Installation

To install this package, run one of the following:

Conda
$conda install conda-forge::timefiller

Usage Tracking

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1.0
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Downloads (Last 6 months): 0

Description

timefiller is a Python package for time series imputation and forecasting. When applied to a set of correlated time series, each series is processed individually, leveraging correlations with the other series as well as its own auto-regressive patterns. The package is designed to be easy to use, even for non-experts.

About

Summary

A package for imputing missing data in time series, or forecasting in missing data contexts

Last Updated

Jan 12, 2025 at 16:41

License

MIT

Supported Platforms

noarch