v0.8.9

• Fix for issue #98 Where the interactive plot sometimes produced an error. The issue was that nodenames are cleaned in d3blocks but this step was skipped in the interactive plot of bnlearn.

0.8.8

• Latest version of pandas is supported again.

0.8.7

• Fix for showing the weights in the edges for the static plot

0.8.6

• Fix for issue #99
• Removed d3blocks from setup /requirements and added it as check when using the interactive plot functionality

0.8.5

• add d3blocks to setup and requirements with minimum version. The wrong version can break the interactive plots.

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