Metadata-Version: 2.1
Name: jajapy
Version: 0.7.1
Summary: Baum-Welch for all kind of Markov model
Home-page: UNKNOWN
Author: Raphaël Reynouard
Author-email: raphal20@ru.is
License: MIT
Description: <div align="center">
        <h1>
        <img src="logo.png" width="300">
        </h1><br>
        
        [![Pypi](https://img.shields.io/pypi/v/jajapy)](https://pypi.org/project/jajapy/)
        [![Python 3.6](https://img.shields.io/badge/python-3.6%2B-blue)](https://www.python.org/downloads/release/python-360/)
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        [![Documentation Status](https://readthedocs.org/projects/jajapy/badge/?version=latest)](https://jajapy.readthedocs.io/en/latest/?badge=latest)
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        </div>
        
        
        ## 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, `jajapy`can be use as a learning extension to the Storm model checker.
        
        
        ## Main features
        `jajapy` provides:
        
        <div align="center">
        	
        | Markov Model   |      Learning Algorithm(s) |
        |-------|:-------------:|
        | HMM    | Baum-Welch for HMMs  ([ref](https://web.ece.ucsb.edu/Faculty/Rabiner/ece259/Reprints/tutorial%20on%20hmm%20and%20applications.pdf)) |
        | MC     | Baum-Welch for MCs <br /> Alergia ([ref](https://www.researchgate.net/publication/2543721_Learning_Stochastic_Regular_Grammars_by_Means_of_a_State_Merging_Method/stats)) |
        | MDP    | Baum-Welch for MDPs ([ref](https://arxiv.org/abs/2110.03014))<br /> Active Baum-Welch ([ref](https://arxiv.org/abs/2110.03014))<br /> IOAlergia ([ref](https://link.springer.com/content/pdf/10.1007/s10994-016-5565-9.pdf))|
        | CTMC   | Baum-Welch for CTMCs<br /> MM for asynchronous composition of CTMCs|
        | GoHMM  | Baum-Welch for GoHMMs ([ref](http://www.inass.org/2020/2020022920.pdf)) |
        | MGoHMM | Baum-Welch for MGoHMMs |
        
        </div>
        
        `jajapy` generates by default Stormpy models (except for GoHMM and MGoHMM).
        
        ## Installation
        ``pip install jajapy``
        
        ## Requirements
        - numpy
        - scipy
        - stormpy (recommended: if stormpy is not installed, `jajapy` will generate models in jajapy format).
        
        ## Documentation
        Available on [readthedoc](https://jajapy.readthedocs.io/en/latest/?)
        
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
