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Variable Markov Oracle in Python

Project description

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.

Project details


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vmo-0.30.4.tar.gz (36.1 kB view hashes)

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vmo-0.30.4-py3-none-any.whl (42.5 kB view hashes)

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