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 pickle.

PAR.load(path)

Load a TabularModel instance from a given path.