featurebyte.HistoricalFeatureTable.to_spark_df¶

to_spark_df( ) -> Any

Description¶

Get a spark dataframe from the historical feature table.

>>> historical_feature_table = catalog.get_historical_feature_table(
...     "historical_feature_table_name"
... )  # doctest: +SKIP

>>> historical_feature_table.to_spark_df()