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Author:
Felix Rios
License:
Apache 2.0
Summary:
Bayesian predictive classification and structure learning in decomposable graphical models using particle Gibbs.
Latest version:
2.0.5
Required dependencies:
ipywidgets
|
matplotlib
|
networkx
|
nose2
|
numpy
|
pandas
|
pygraphviz
|
scikit-learn
|
scipy
|
seaborn
|
sphinx-rtd-theme
|
tabulate
|
tqdm
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