module change_detection.skmultiflow.skmultiflow_change_detector

Scikit-Multiflow Change Detection Model Wrapper.

This module contains a wrapper class for scikit-multiflow concept drift detection methods.

Copyright (C) 2022 Johannes Haug.

class SkmultiflowChangeDetector

Wrapper class for scikit-multiflow change detection classes.

Attributes:

  • detector (BaseDriftDetector): The scikit-multiflow concept drift detector object.

method SkmultiflowChangeDetector.__init__

__init__(
    detector: skmultiflow.drift_detection.base_drift_detector.BaseDriftDetector,
    reset_after_drift: bool = False
)

Inits the wrapper.

Args:

  • detector: The scikit-multiflow concept drift detector object.
  • reset_after_drift: A boolean indicating if the change detector will be reset after a drift was detected.

method SkmultiflowChangeDetector.detect_change

detect_change() → bool

Detects global concept drift.

Returns:

  • bool: True, if a concept drift was detected, False otherwise.

method SkmultiflowChangeDetector.detect_partial_change

detect_partial_change() → Tuple[bool, list]

Detects partial concept drift.

Notes:

Scikit-multiflow change detectors do not detect partial change.

method SkmultiflowChangeDetector.detect_warning_zone

detect_warning_zone() → bool

Detects a warning zone.

Returns:

  • bool: True, if the change detector has detected a warning zone, False otherwise.

method SkmultiflowChangeDetector.partial_fit

partial_fit(pr_scores: List[bool])

Updates the change detector.

Args:

  • pr_scores: A boolean vector indicating correct predictions. 'True' values indicate that the prediction by the online learner was correct, otherwise the vector contains 'False'.

method SkmultiflowChangeDetector.reset

reset()

Resets the change detector.

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