CopulaGAN([field_names, field_types, …])
CopulaGAN
Combination of GaussianCopula transformation and GANs.
CopulaGAN.fit(data)
CopulaGAN.fit
Fit this model to the data.
CopulaGAN.sample(num_rows[, …])
CopulaGAN.sample
Sample rows from this table.
CopulaGAN.sample_conditions(conditions[, …])
CopulaGAN.sample_conditions
Sample rows from this table with the given conditions.
CopulaGAN.sample_remaining_columns(known_columns)
CopulaGAN.sample_remaining_columns
CopulaGAN.get_metadata()
CopulaGAN.get_metadata
Get metadata about the table.
CopulaGAN.get_distributions()
CopulaGAN.get_distributions
Get the marginal distributions used by this CopulaGAN.
CopulaGAN.save(path)
CopulaGAN.save
Save this model instance to the given path using pickle.
CopulaGAN.load(path)
CopulaGAN.load
Load a TabularModel instance from a given path.