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.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 pickle.

GaussianCopula.load(path)

Load a TabularModel instance from a given path.