Metadata-Version: 2.1
Name: matrixprofile-ts
Version: 0.0.1
Summary: An Open Source Time Series Library For Motif Discovery
Home-page: https://github.com/target/matrixprofile-ts
Author: Andrew Van Benschoten
Author-email: andrew.vanbenschoten@target.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
Requires-Dist: numpy

# matrixprofile-ts
## What is matrixprofile?
matrixprofile is a Python library for evaluating time series data using the matrix profile algorithms developed by the Keough and Mueen research groups at the University of California-Riverside and the University of New Mexico. Current algorithms implemented include MASS, STMP, STAMP and STAMPI.

## Getting Started


### Tutorial
This repo includes a Jupyter Notebook tutorial containing basic examples of the code. This notebook also renders automatically in GitHub. 


*Note: This matrixprofile implementation uses Python 3*
**
This **matrixprofile** library is based on:

Chin-Chia Michael Yeh, Yan Zhu, Liudmila Ulanova, Nurjahan Begum, Yifei Ding, Hoang Anh Dau, Diego Furtado Silva, Abdullah Mueen, Eamonn Keogh (2016). Matrix Profile I: All Pairs Similarity Joins for Time Series: A Unifying View that Includes Motifs, Discords and Shapelets. IEEE ICDM 2016. (http://www.cs.ucr.edu/~eamonn/MatrixProfile.html)


