# sdv.tabular.copulas.GaussianCopula.get_parameters¶

GaussianCopula.get_parameters()

Get the parameters learned from the data.

The result is a flat dict (single level) which contains all the necessary parameters to be able to reproduce this model.

Subclasses which are not parametric, such as DeepLearning based models, raise a NonParametricError indicating that this method is not supported for their implementation.

Returns

flat dict (single level) which contains all the necessary parameters to be able to reproduce this model.

Return type

parameters (dict)

Raises

NonParametricError – If the model is not parametric or cannot be described using a simple dictionary.