Metadata-Version: 2.1
Name: pypots
Version: 0.0.0
Summary: A Python Toolbox for Data Mining on Partially-Observed Time Series
Home-page: https://github.com/pypots/pypots
Author: Wenjie Du
Author-email: wenjay.du@gmail.com
License: UNKNOWN
Download-URL: https://github.com/pypots/pypots/archive/master.zip
Keywords: data mining,neural networks,machine learning,deep learning,partially observed,time series,missing data,missing values
Platform: UNKNOWN
Description-Content-Type: text/markdown
Requires-Dist: matplotlib
Requires-Dist: numpy
Requires-Dist: scikit-learn
Requires-Dist: scipy
Requires-Dist: pytorch
Requires-Dist: pandas

<p align="center">
    <a id="pypots" href="#pypots">
        <img src="docs/figs/PyPOTS logo.svg" alt="PyPOTS logo" title="PyPOTS logo" width="200"/>
    </a>
</p>

<p align="center">
	A <ins><b>Py</b></ins>thon Toolbox for Data Mining on <ins><b>P</b></ins>artially-<ins><b>O</b></ins>bserved <ins><b>T</b></ins>ime <ins><b>S</b></ins>eries 
</p>
<p align="center">
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