Variable Markov Oracle in Python

These details have not been verified by PyPI

Project links

Project description

vmo - Python Variable Markov Oracle Library

Maintained by the Center for Research in Entertainment and Learning (CREL) @UCSD

Contacts

Cheng-i Wang, chw160@ucsd.edu Shlomo Dubnov, sdubnov@ucsd.edu

About

vmo is a Python library for time series and symbolic sequence analysis/synthesis in the family of software built around the Factor Oracle and Variable Markov Oracle algorithms. One of the main innovations in vmo is using functions related to Information Dynamics to determine oracle structure and query-matching algorithms.

Installation

run python setup.py install or pip install vmo

Friendly Reminder

If the VMO package is used for any research works result in publications, please cite the following paper.

For machine improvisation and sequence generation, .

For motif discovery and segmentation, .

For human gesture applications, .

Project details

These details have not been verified by PyPI

Project links

Release history Release notifications | RSS feed

This version

0.30.5

Feb 3, 2022

0.30.4

Jan 18, 2022

0.23.3

Mar 13, 2017

0.23.2

Feb 22, 2017

0.23.1

Feb 14, 2017

0.22.9

Dec 3, 2016

0.22.8

Dec 3, 2016

0.22.7

Nov 26, 2016

0.22.6

Jul 5, 2016

0.22.5

Jan 23, 2016

0.22.4

Jan 18, 2016

0.22.3

Jan 13, 2016

0.22.2

Jan 12, 2016

0.22.1

Dec 11, 2015

0.22

Nov 17, 2015

0.21

Nov 17, 2015

0.3.4

Mar 13, 2021

0.3.3

Nov 17, 2017

0.3.3b pre-release

Nov 18, 2017

0.3.0

Oct 5, 2017

Download files

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

Source Distribution

vmo-0.30.5.tar.gz (36.4 kB view details)

Uploaded Feb 3, 2022 Source

Built Distribution

vmo-0.30.5-py3-none-any.whl (42.8 kB view details)

Uploaded Feb 3, 2022 Python 3

File details

Details for the file vmo-0.30.5.tar.gz.

File metadata

Download URL: vmo-0.30.5.tar.gz
Upload date: Feb 3, 2022
Size: 36.4 kB
Tags: Source
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.7.1 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.2

File hashes

Hashes for vmo-0.30.5.tar.gz
Algorithm	Hash digest
SHA256	`c97b7e6bb6b724cdda4b2f2eb2008acda6f824ae654d047502230470576335d6`
MD5	`9c7015401ec847407ae72bdb27c75d07`
BLAKE2b-256	`377066738a5caa7a16f7aea82f4948049f6b88b0c85236db5550333f3a0fede3`

See more details on using hashes here.

File details

Details for the file vmo-0.30.5-py3-none-any.whl.

File metadata

Download URL: vmo-0.30.5-py3-none-any.whl
Upload date: Feb 3, 2022
Size: 42.8 kB
Tags: Python 3
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.7.1 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.2

File hashes

Hashes for vmo-0.30.5-py3-none-any.whl
Algorithm	Hash digest
SHA256	`61478bff51f458d4a30375e9db3e2636e2e057359e5566ad9a221896b4b24538`
MD5	`574a5c2b7ecf0d48cc067255652a35a5`
BLAKE2b-256	`122586fa2f26d717dce6d4e2d59e0ef492a56463b46d9fcd7baa9837c4dfa8d6`