A small example package
Project description
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.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
extendedMD-1.tar.gz
(9.5 kB
view hashes)
Built Distribution
extendedMD-1-py3-none-any.whl
(12.5 kB
view hashes)