0.4.0

• Included fixed_edges when using methodtype='hc'
• Changed the bw_list_method for clarity.
  • bw_list_method='enforce' into bw_list_method='edges'
  • bw_list_method='filter' into bw_list_method='nodes'
• Some docstring updates
• Some code cleaning

Note that bw_list_method='nodes' works for all methodtypes and bw_list_method='edges' only when methodtype='hc'

0.3.22

• Added new tree search based structure learning method: Tree-augmented Naive Bayes (TAN)

Example

import bnlearn as bn
df = bn.import_example()
# Structure learning with TAN
model = bn.structure_learning.fit(df, methodtype='tan', root_node='Cloudy', class_node='Rain')
bn.plot(model)

0.3.21

• Fix for scoring_method that occured in newer versions from pgmpy/python
• Fix for return_type in forward_sampling
• removed examples from library and included functionality to auto-download
• Update of requirements
• Update unit test
• Some code refactoring

0.3.20

• Functionally added to make predictions on dataset with the predict function #17
• Predict examples can be found in the readme and sphinx pages: https://erdogant.github.io/bnlearn/pages/html/Predict.html
• Functionally added that outputs a dataframe with the results for the inference that is made (query2df)
• Included some exceptions to catch errors
• Fixed circular imports
• Unit test updated for the new functions
• Some docstrings updated
• Some code refactoring and cleaning

0.3.19

• New functionality added: topological sorting of the DAG.
• Example of usage: https://erdogant.github.io/bnlearn/pages/html/topological_sort.html

0.3.18

• Fix for the maximum likelihood estimation in parameter learning using the model.fit approach (thanks to ssomanch)

0.3.17

• Fix typo in pip install instructions
  Thanks to the contribution of bencevans!

0.3.16

• tabu_length is configurable in hill climb search (Thanks to contribution of ivylee!)

0.3.15

• the use of black_list and white_list requires setting parameter method type
• update unit test
• update sphinx docs

0.3.14

• Better variable naming in "sampling" function.
• Fix for minimum requirement matplotlib