get_stallion_data#

pytorch_forecasting.data.examples.get_stallion_data() → DataFrame[source]#

Demand data with covariates.

~20k samples of 350 timeseries. Important columns

Timeseries can be identified by agency and sku.
volume is the demand
date is the month of the demand.

Returns: data
Return type: pd.DataFrame