BaseDriftDetector#

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

Bases: ABC

Drift Detector

__init__()[source]#
abstract 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

abstract 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?