import hsfs connection = hsfs.connection() fs = connection.get_feature_store()
You should have already created the sales_fg and exogenous_fg feature groups by running the hsfs/basics/feature-engineering.ipynb notebook.
sales_fg = fs.get_feature_group('sales_fg') exogenous_fg = fs.get_feature_group('exogenous_fg') df = sales_fg.select_all().join(exogenous_fg.select_all())
Set coalesce to True, when creating a training dataset to produce a single CSV file.
td = fs.create_training_dataset(name="sales_model_one", description="Single CSV file to train the sales model", data_format="csv", coalesce=True, version=2) td.save(df)