Bnlearn

Latest version: v0.10.2

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33962.61414408797

'bds': -57992.919156623604,
'bic': -94337.69274492635,
'bdeu': -33670.95375881856}

0.10.2

Fix for bug 105

0.10.1

Fix for bug "DBN" not in config found.

0.10.0

The impute functionality has been extended with the MICE method thanks to Ananyapam7 (issue 81).
In addition, I also added functionality to impute missing categorical values.

Key features include:
* Supports K-NN imputation for numeric columns.
* Supports MICE imputation for numeric columns.
* Numeric columns are auto-identified and converted for imputation where necessary.
* Includes options to specify the imputation estimator, number of iterations (max_iter), and verbosity level for logging.
* String/categorical columns are imputed.

Created a new file impute.py for imputation related functions.
See examples and more information in the [documentation pages](https://erdogant.github.io/bnlearn/pages/html/impute.html).

0.9.1

* bug fix when using parameter learning

0.9.0

* Lingam methods (Direct and ICA) are implemented to model datasets with continuous variables (without discretizing). See docs [here](https://erdogant.github.io/bnlearn/pages/html/Continuous%20Data.html). #36 94
* Plotting is now possible using Graphviz which creates more clear figures. See docs [here](https://erdogant.github.io/bnlearn/pages/html/Plot.html#static-plot-graphviz).
* For Constraint-based (PC), CII 9 tests are included and the alpha can be set.
* Parameter showfig and visible is available now for plotting 103
* Dynamic Bayesian Network (DBN) implemented. 100. See docs [here](https://erdogant.github.io/bnlearn/pages/html/bnlearn.bnlearn.html#bnlearn.bnlearn.make_DAG) and [here](https://erdogant.github.io/bnlearn/pages/html/bnlearn.parameter_learning.html#module-bnlearn.parameter_learning).
* Impute functionality implemented in case of missing values. 81 See docs over [here](https://erdogant.github.io/bnlearn/pages/html/impute.html).
* Updated docstrings and sphinx documentation pages.
* Created a logo! :-)

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