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sdv.metrics.tabular.DiscreteKLDivergence.compute

classmethod DiscreteKLDivergence.compute(real_data, synthetic_data, metadata=None, **kwargs)

Compute this metric.

Parameters

  • real_data (Union[numpy.ndarray, pandas.DataFrame]) – The values from the real dataset.

  • synthetic_data (Union[numpy.ndarray, pandas.DataFrame]) – The values from the synthetic dataset.

  • metadata (dict) – Table metadata dict.

  • **kwargs – Any additional keyword arguments will be passed down to the column pairs metric

Returns

Metric output.

Return type

Union[float, tuple[float]]

sdv.metrics.tabular.DiscreteKLDivergence.get_subclasses sdv.metrics.tabular.GMLogLikelihood