module change_detection.tornado.seqdrift2

SeqDrift2 Drift Detection Method.

The source code was adopted from tornado, please cite:

The Tornado Framework By Ali Pesaranghader University of Ottawa, Ontario, Canada E-mail: apesaran -at- uottawa -dot- ca / alipsgh -at- gmail -dot- com

Original Paper: Pears, Russel, Sripirakas Sakthithasan, and Yun Sing Koh. "Detecting concept change in dynamic data streams." Published in: Machine Learning 97.3 (2014): 259-293. URL: https://link.springer.com/article/10.1007/s10994-013-5433-9

Copyright (C) 2022 Johannes Haug.

class SeqDrift2

SeqDrift2 change detector.

method SeqDrift2.__init__

__init__(
    delta: float = 0.01,
    block_size: int = 200,
    reset_after_drift: bool = False
)

Inits the change detector.

Args:

  • delta: Todo (left unspecified by the Tornado library).
  • block_size: Todo (left unspecified by the Tornado library).
  • reset_after_drift: A boolean indicating if the change detector will be reset after a drift was detected.

method SeqDrift2.detect_change

detect_change() → bool

Detects global concept drift.

Returns:

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

method SeqDrift2.detect_partial_change

detect_partial_change() → Tuple[bool, list]

Detects partial concept drift.

Notes:

SeqDrift2 does not detect partial change.

method SeqDrift2.detect_warning_zone

detect_warning_zone() → bool

Detects a warning zone.

Notes:

SeqDrift2 does not raise warnings.

method SeqDrift2.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 SeqDrift2.reset

reset()

Resets the change detector.

This file was automatically generated via lazydocs.