Bases: LearnerParamsMixin, ABC
Abstract base class for anomaly detector.
Attributes:
- schema: The schema representing the instances. Defaults to None.
- random_seed: The random seed for reproducibility. Defaults to 1.
-
__init__(schema: Schema, random_seed=1)[source]
-
classmethod from_params(
- schema: Any = None,
- params: dict[str, Any] | None = None,
- random_seed: int = 1,
) → Any[source]
Construct an instance from parameters produced by get_params.
-
get_params() → dict[str, Any][source]
Return the hyper-parameters captured from the constructor.
-
abstract predict(instance: Instance) → int | None[source]
-
abstract score_instance(instance: Instance) → float[source]
Returns the anomaly score for the instance.
A high score is indicative of an anomaly.
- Parameters:
instance – The instance for which the anomaly score is calculated.
- Returns:
The anomaly score for the instance.
-
abstract train(instance: Instance)[source]
