Returns a DataFrame with target values for analysis, model training, or evaluation. The target request data consists of an observation set that combines points-in-time and key values of the primary entity from the target.
Associated serving entities can also be utilized.
- observation_table: Union[ObservationTable, DataFrame]
Observation set DataFrame or ObservationTable object, which combines points-in-time and values of the target primary entity or its descendant (serving entities). The column containing the point-in-time values should be named
POINT_IN_TIME, while the columns representing entity values should be named using accepted serving names for the entity.
- serving_names_mapping: Union[Dict[str, str], NoneType]
Optional serving names mapping if the training events table has different serving name columns than those defined in Entities, mapping from original serving name to new name.
- skip_entity_validation_checks: bool
Whether to skip entity validation checks.
POINT_IN_TIME values will be converted to UTC time.