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Baum-Welch for all kind of Markov model

Project description


Pypi Python 3.6 PyPI - Wheel Documentation Status License

Introduction

jajapy is a python library implementing the Baum-Welch algorithm on various kinds of Markov models. jajapy generates models which are compatible with the Stormpy model checker. Thus, jajapycan be use as a learning extension to the Storm model checker.

Main features

jajapy provides:

Markov Model Learning Algorithm(s)
MC Baum-Welch for MCs
Alergia (ref)
MDP Baum-Welch for MDPs (ref)
Active Baum-Welch (ref)
IOAlergia (ref)
CTMC Baum-Welch for CTMCs
Baum-Welch for synchronous compositions of CTMCs
PCTMC Baum-Welch for PCTMCs (ref)
HMM Baum-Welch for HMMs (ref)
GoHMM Baum-Welch for GoHMMs (ref)

jajapy is compatible with Prism and Storm.

Installation

pip install jajapy

Requirements

Documentation

Available on readthedoc

About the author

My website

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