# GaussianCopula¶

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