Functions used to create pytorch `DataSet`s and `DataLoader`s.
convert_date(dates)
Converts pandas date format to torch Tensors (floats)
get_moments(df)
Gets the mean and variance of all columns.
create_tensors(df, moments, predict=False)
converts a pandas dataframe to pytorch tensors
TimeSeries(x, y) :: Dataset
Load raw x,y data
DataFrame(df, moments=None) :: Dataset
Take a data frame with columns ds | y | other_cols and convert to pytorch tensors.
Functions to create Fastai DataBunches.
create_db(df, train_p=0.8, bs=96, moments=None)
Take dataframe and convert to Fastai databunch