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GaussianCopula

GaussianCopula([field_names, field_types, …])	Model wrapping copulas.multivariate.GaussianMultivariate copula.
GaussianCopula.fit(data)	Fit this model to the data.
GaussianCopula.sample(num_rows[, …])	Sample rows from this table.
GaussianCopula.sample_conditions(conditions)	Sample rows from this table with the given conditions.
GaussianCopula.sample_remaining_columns(…)	Sample rows from this table.
GaussianCopula.get_metadata()	Get metadata about the table.
GaussianCopula.get_parameters()	Get the parameters learned from the data.
GaussianCopula.set_parameters(parameters)	Regenerate a previously learned model from its parameters.
GaussianCopula.get_distributions()	Get the marginal distributions used by this copula.
GaussianCopula.get_likelihood(table_data)	Get the likelihood of each row belonging to this table.
GaussianCopula.save(path)	Save this model instance to the given path using cloudpickle.
GaussianCopula.load(path)	Load a TabularModel instance from a given path.

sdv.tabular sdv.tabular.copulas.GaussianCopula