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sdv.metrics.tabular.BNLikelihood

class sdv.metrics.tabular.BNLikelihood[source]

BayesianNetwork Likelihood Single Table metric.

This metric fits a BayesianNetwork to the real data and then evaluates how likely it is that the synthetic data belongs to the same distribution.

The output is the average probability across all the synthetic rows.

name

Name to use when reports about this metric are printed.

Type

str

goal

The goal of this metric.

Type

sdmetrics.goal.Goal

min_value

Minimum value or values that this metric can take.

Type

Union[float, tuple[float]]

max_value

Maximum value or values that this metric can take.

Type

Union[float, tuple[float]]

__init__()

Initialize self. See help(type(self)) for accurate signature.

Methods

__init__()

Initialize self.

compute(real_data, synthetic_data[, …])

Compute this metric.

compute_breakdown(real_data, synthetic_data)

Compute this metric breakdown.

get_subclasses([include_parents])

Recursively find subclasses of this metric.

normalize(raw_score)

Compute the normalized value of the metric.

Attributes

goal

max_value

min_value

name