Metadata-Version: 2.1
Name: bn_testing
Version: 0.2.0
Summary: A test bench to benchmark learn algorithms for graphical models
Home-page: https://github.com/windisch/bn-test-bench
Author: Tobias Windisch
Author-email: tobias.windisch@posteo.de
License: GNU GPL3
Description: # BN testing
        
        A test framework to evaluate methods that learn Bayesian Networks from
        high-dimensional observed data.
        
        
        ## Sampling
        
        Set up the graphical model and sample  data
        ```python
        from bn_testing.dags import GroupedGaussianBN
        
        model = GroupedGaussianBN(n_nodes=200, n_groups=10)
        df = model.sample(10000)
        ```
        The observations are stored in a `pandas.DataFrame` where the columns
        are the nodes of the DAG and each row is an observation. The
        underlying DAG of the graphical model can be accessed with `model.dag`
        
Keywords: graphical models
Platform: UNKNOWN
Description-Content-Type: text/markdown
