PAR

PAR([field_names, field_types, …])	DeepEcho model based on the deepecho.models.par.PARModel class.
PAR.fit(timeseries_data)	Fit this model to the data.
PAR.sample([num_sequences, context, …])	Sample new sequences.
PAR.get_metadata()	Get metadata about the table.
PAR.save(path)	Save this model instance to the given path using cloudpickle.
PAR.load(path)	Load a TabularModel instance from a given path.

sdv.timeseries sdv.timeseries.deepecho.PAR