Class FeatureService

sdk/python/feast/feature_service.py:26–273

A feature service defines a logical group of features from one or more feature views. This group of features can be retrieved together during training or serving. Attributes: name: The unique name of the feature service. feature_view_projections: A list containing featu

@typechecked
class FeatureService:
    """
    A feature service defines a logical group of features from one or more feature views.
    This group of features can be retrieved together during training or serving.

    Attributes:
        name: The unique name of the feature service.
        feature_view_projections: A list containing feature views and feature view
            projections, representing the features in the feature service.
        description: A human-readable description.
        tags: A dictionary of key-value pairs to store arbitrary metadata.
        owner: The owner of the feature service, typically the email of the primary
            maintainer.
        created_timestamp: The time when the feature service was created.
        last_updated_timestamp: The time when the feature service was last updated.
    """

    name: str
    _features: List[Union[FeatureView, OnDemandFeatureView, LabelView]]
    feature_view_projections: List[FeatureViewProjection]
    description: str
    tags: Dict[str, str]
    owner: str
    created_timestamp: Optional[datetime] = None
    last_updated_timestamp: Optional[datetime] = None
    logging_config: Optional[LoggingConfig] = None

    precompute_online: bool = False

    def __init__(
        self,
        *,
        name: str,
        features: List[Union[FeatureView, OnDemandFeatureView, LabelView]],
        tags: Optional[Dict[str, str]] = None,
        description: str = "",
        owner: str = "",
        logging_config: Optional[LoggingConfig] = None,
        precompute_online: bool = False,
    ):
        """
        Creates a FeatureService object.

        Args:
            name: The unique name of the feature service.
            features: A list containing feature views and feature view
                projections, representing the features in the feature service.
            description (optional): A human-readable description.
            tags (optional): A dictionary of key-value pairs to store arbitrary metadata.
            owner (optional): The owner of the feature view, typically the email of the
                primary maintainer.
            precompute_online (optional): When True, a pre-computed feature vector is
                maintained per entity for single-read online retrieval.
        """
        self.name = name
        self._features = features
        self.feature_view_projections = []
        self.description = description