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