BaseDriftDetector# class capymoa.drift.base_detector.BaseDriftDetector[source]# Bases: ABC Drift Detector __init__()[source]# 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? 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