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
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It handles discrete nodes, continous nodes and hybrid (Mixture of discrete and continuous) network.
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It uses multinomila distribution for the discrete nodes and Gaussian distribution for the continuous nodes.
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It handles arbitrary Bayesian network structure.
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It supports arbitrary loopback values.
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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:
- Original paper
- Documentation in PDF available in the github repository.
License
This software is released under the MIT liecense.
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