Metadata-Version: 2.1
Name: tsanalysis
Version: 0.1.2
Summary: Machine Learning library for time series analysis
Home-page: https://github.com/etiennedemontalivet/time-series-analysis
Author: Etienne de Montalivet
Author-email: etienne.demontalivet@gmail.com
License: UNKNOWN
Keywords: ml datascience timeseries dataanalysis
Platform: UNKNOWN
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: lightgbm (>=2.3.0)
Requires-Dist: numpy (>=1.17.3)
Requires-Dist: pandas (>=0.25.2)
Requires-Dist: pyentrp (>=0.5.0)
Requires-Dist: PyWavelets (>=1.0.6)
Requires-Dist: pyyaml (>=5.1.2)
Requires-Dist: seaborn (>=0.9.0)
Requires-Dist: matplotlib (>=3.1.2)
Requires-Dist: scikit-optimize
Requires-Dist: umap-learn (==0.3.10)
Requires-Dist: plotly (==4.3.0)
Requires-Dist: imbalanced-learn (==0.5.0)
Requires-Dist: imblearn (==0.0)
Requires-Dist: autopep8 (==1.5)
Requires-Dist: PyAstronomy (==0.14.0)
Requires-Dist: jupytext (==1.5.0)
Requires-Dist: jupyterlab
Provides-Extra: dev
Requires-Dist: flake8 (>=3.7) ; extra == 'dev'
Requires-Dist: black ; extra == 'dev'
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Requires-Dist: invoke (>=1.3) ; extra == 'dev'
Requires-Dist: pytest ; extra == 'dev'
Requires-Dist: pytest-coverage ; extra == 'dev'

# Time Series Analysis

A framework for time-series analysis and features extraction / visualization.

## Installation

### From Github
Download or clone the sources from the [github page](https://github.com/etiennedemontalivet/time-series-analysis/) and run:
```
python steup.py install
```

### Release
```
pip install tsanalysis
```

## Documentation

This is **Work In Progress**


