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Danger
You are looking at the documentation for an older version of the SDV! We are no longer supporting or maintaining this version of the software
Click here to go to the new docs pages.
sdv.metrics.relational.
BNLogLikelihood
MultiSingleTableMetric based on SingleTable BNLogLikelihood.
__init__
Initialize self. See help(type(self)) for accurate signature.
Methods
__init__(single_table_metric)
Initialize self.
compute(real_data, synthetic_data[, metadata])
compute
Compute this metric.
compute_breakdown(real_data, synthetic_data)
compute_breakdown
Compute this metric broken down by tables and columns.
get_subclasses([include_parents])
get_subclasses
Recursively find subclasses of this metric.
normalize(raw_score)
normalize
Normalize the log-likelihood value.
Attributes
goal
max_value
min_value
name