MOADriftDetector#

class capymoa.drift.base_detector.MOADriftDetector[source]#

A MOA (Massive Online Analysis) drift detector for CapyMOA.

__init__( cli: str = '', moa_detector_type: Type[AbstractChangeDetector] | None = None, )[source]#: Initialize the wrapped MOA drift detector.

add_element(element: float) → None[source]#

Update the drift detector with a new input value.

Parameters:: element – A value to update the drift detector with. Usually, this is the prediction error of a model.

detected_change() → bool[source]#: Is the detector currently detecting a concept drift?

detected_warning() → bool[source]#: Is the detector currently warning of an upcoming concept drift?

classmethod from_cli(cli: str) → MOADriftDetector[source]#

Create a detector instance configured from a MOA CLI string.

Parameters:: cli – Command-line style options string for MOA detector hyper-parameters.
Returns:: A new detector instance initialized with cli.

get_params() → Dict[str, Any][source]#: Get the hyper-parameters of the drift detector.

reset(clean_history: bool = False) → None[source]#

Reset the drift detector.

Parameters:: clean_history – Whether to reset detection history, defaults to False