Metadata-Version: 2.1
Name: extendedMD
Version: 1
Summary: A small example package
Home-page: https://github.com/misilva73/extendedMD
Author: Maria Ines Silva
Author-email: misilva73@gmail.com
License: UNKNOWN
Project-URL: Documentation, https://extendedmd.readthedocs.io
Project-URL: Source, https://github.com/misilva73/extendedMD
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3
Description-Content-Type: text/markdown
Requires-Dist: dtaidistance (==1.1.4)
Requires-Dist: matplotlib (>=3.0.2)
Requires-Dist: numpy (>=1.15)
Requires-Dist: pandas (>=0.23)
Requires-Dist: saxpy (==1.0.1.dev167)
Requires-Dist: scipy (>=1.2)
Requires-Dist: seaborn (>=0.9)

# Extended Motif Discovery algorithm

This repository contains a python implementation of the Extended Motif Discovery (EMD) algorithm [1] for motif 
discovery in time-series.

## Prerequisites

    dtaidistance==1.1.4
    matplotlib>=3.0.2
    numpy>=1.15
    pandas>=0.23
    saxpy==1.0.1.dev167
    scipy>=1.2
    seaborn>=0.9


## Installing

This packages is available on PyPI and thus can be directly installed with pip:

    pip install extendedMD

Alternatively, this package can installed from source by cloning this repository and installing it manually with the command:

    python setup.py install


## Usage


## References

[1]  Y. Tanaka, K. Iwamoto, K. Uehara,  Discovery of Time-Series Motif from Multi-Dimensional Data Based on 
MDL Principle,  Machine Learning (2005) 269–300.

