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Generate time series data from an arbitrary Bayesian network

Project description

Description

tsBNgen is a Python package to generate time series data based on an arbitrary Bayesian Network Structures.


Citation

For the correct citation please visit https://github.com/manitadayon/tsBNgen


Features

  • It handles discrete nodes, continous nodes and hybrid (Mixture of discrete and continuous) network.

  • It uses multinomila distribution for the discrete nodes and Gaussian distribution for the continuous nodes.

  • It handles arbitrary Bayesian network structure.

  • It supports arbitrary loopback values.

  • The code can be modified easily to handle arbitrary static and temporal structures.


Instruction

To run this code either clone this repo or use the package distribution in PyPI using the following commands:

pip install tsBNgen

Then Run through the set of examples in

Time_Series_Generation_Examples.ipynb

For more information on how to use the package please visit the following:

  1. Original paper
  2. Documentation in PDF available in the github repository.

License

This software is released under the MIT liecense.

Project details


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