A linear memory, exact, parallelizable algorithm for dynamic time warping in arbitrary Euclidean spaces

These details have not been verified by PyPI

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Project description

Parallelizable Dynamic Time Warping with Linear Memory

To get started, type

python setup.py build_ext --inplace

Run the file Orchestral.py to download and run all alignment experiments

These details have not been verified by PyPI

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

0.1.7

Mar 13, 2022

0.1.6

Apr 6, 2021

0.1.5

Nov 5, 2020

0.1.4

Nov 5, 2020

0.1.3

Aug 7, 2020

0.1.2

Aug 4, 2020

This version

0.1

Jul 28, 2020

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Uploaded Jul 28, 2020 Source

Uploaded Jul 28, 2020 Source

Uploaded Jul 28, 2020 Source

Hashes for linmdtw-0.1.tar.gz
Algorithm	Hash digest
SHA256	`7df89214758b1816141836b72088cbafad6057c49e0aaeb4e2d602cda8267bc7`
MD5	`5dc42580e304e9364ffdf8fb764cc6e5`
BLAKE2b-256	`1021e3ebf29094a8c2a5452a3a6cfb458eb23cfb1e306f3f345eaa8c229cc28a`

Hashes for linmdtw-0.1-py3.6-linux-x86_64.egg
Algorithm	Hash digest
SHA256	`04bbe6777dcb499a64482044fa32ed413f818659db470eb29e28fbe02f74e6cd`
MD5	`bbc197c2f02a71fa8d709a7b6bd53190`
BLAKE2b-256	`af6242dfc086c5bd09a860a0c2a2fb73e44d9c1142219d6fca3789f5e07df9d6`