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vmo - Python Variable Markov Oracle Library

Build Status

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, DOI:10.1145/2905371.

For motif discovery and segmentation, DOI:10.1109/icassp.2015.7178056.

For human gesture applications, DOI:10.1109/mmul.2015.76.

Metadata

Release files for vmo 0.30.5

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for vmo 0.30.5
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vmo-0.30.5.tar.gz 36.4 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for vmo 0.30.5
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vmo-0.30.5-py3-none-any.whl Python 3 none any Details

Total release size: 79.2 kB

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