MOADriftDetector#

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

A wrapper class for using MOA (Massive Online Analysis) drift detectors in CapyMOA.

__init__(moa_detector, CLI=None)[source]#

Parameters:

moa_detector – The MOA detector object or class identifier.
CLI – The command-line interface (CLI) configuration for the MOA drift detector, defaults to None

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.

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

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?

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

Reset the drift detector.

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