v0.8.4

• Fix the issue, sorting the continuous_columns in the correct order when discretizing continuous data @ankh1999

v0.8.3

• Fix for the dynamic plot. #89 The labels are now correctly shown again.
• Fix for when calling the .predict method. #87 Many thanks to @ankh1999

v0.8.2

• fix for recursive model check

v0.8.1

• Removed lowering of pathname in the import_DAG function.

• Added new scoring method: BDS and AIC

• Created groupby functionality for inferences that allows grouping similar categories.

• Auto-convert non-numerical columns into numerical when discretizing

• Code refactoring

• Small improvements docstrings

v0.8.0

I am really happy to announce the following new great functionalities in bnlearn!

• Continuous data modeling is possible using the approach of Yi-Chun Chen et al.
• Interactive plots are created using D3Blocks which provides more flexibility.
• Data examples and functions are removed from bnlearn and are now imported from datazets library.
• Unit tests updated and new ones implemented

Especially for the plot functionality, some of the input parameters are changed.
See the docs for continuous data modeling

v0.7.16

• fix for disabling verbose message

v0.7.15

• Freeze pandas package to 1.5.3 because of error in iteritems that is used in underlying pgmpy package.
• A huge new implementation with new functionalities but this needs to be documented first.

v0.7.14

• added library requests

v0.7.13

• Fix for import examples (requires latest numpy version)
• replaced wget with internal python function.

v0.7.12

• Added cdn resources to fix interactive plot in jupyter notebook and Colab