0.3.2

• update in docstrings
• inferences can now be done with the output of parameter_learning
• added fuction to convert adjmat to BayesianModel (to_BayesianModel)
• Added example of inference
• updates sphnix pages: https://erdogant.github.io/bnlearn/pages/html/Examples.html#start-with-raw-data

0.3.1

• Added new example titanic
• Sprinkler and titanic dataset is downloaded if required
• Added functionality to convert raw dataframe to one-hot datamatrix
• docstring updates
• sphinx updates

0.3.0

• Unit tests added!
• bnlearn.print_DAG changed into bnlearn.print_CPD
• output of bnlearn.parameter_learning is a dict containing the model and adjmat.

0.2.3

Documentation link changed: https://erdogant.github.io/bnlearn

0.2.2

Added new functionality to bnlearn:

• make_DAG()

• print_DAG()

• adjmat2vec()

• vec2adjmat()

• Documentation: https://erdogant.github.io/bnlearn/

0.2.1

• Docstring improvements
• Code cleaning
• Compatible with latest version of pgmpy (v0.1.10)
• black_list and white_list incorporated for structure learning
• Bugfix for BDueScore

0.2.0

• structure_learning() -> structure_learning.fit()
• parameter_learning() -> parameter_learning.fit()
• inference() -> inference.fit()
• Simplified input for plot().
• Code refactoring
• Code cleaning
• Doc strings added

0.1.4

• Function name for loading example changed to import_DAG
• reading example dataframe with sprinkler data added by bnlearn.import_example()
• Verbosity fix

Missing functions added

0.1.3

new version

calling function in init fix

0.1.2

typo