KSWINConfig#

class frouros.detectors.concept_drift.streaming.window_based.KSWINConfig(alpha: float = 0.0001, seed: Optional[int] = None, min_num_instances: int = 100, num_test_instances: int = 30)#

KSWIN (Kolmogorov-Smirnov Windowing) [raab2020reactive] configuration.

References:

[raab2020reactive]

Raab, Christoph, Moritz Heusinger, and Frank-Michael Schleif. “Reactive soft prototype computing for concept drift streams.” Neurocomputing 416 (2020): 340-351.

property alpha: float#

Significance value property.

Returns:

significance value

Return type:

float

property num_test_instances: int#

Number of tests instances property.

Returns:

number of tests instances to be used by the statistical test

Return type:

int

property min_num_instances: int#

Minimum number of instances property.

Returns:

minimum number of instances to start looking for changes

Return type:

int