HDDMAConfig#
- class frouros.detectors.concept_drift.streaming.statistical_process_control.HDDMAConfig(alpha_d: float = 0.001, alpha_w: float = 0.005, two_sided_test: bool = False, min_num_instances: int = 30)#
HDDM-A (Hoeffding’s drift detection method A-Test) [frias2014online] configuration.
- References:
[frias2014online]Frias-Blanco, Isvani, et al. “Online and non-parametric drift detection methods based on Hoeffding’s bounds.” IEEE Transactions on Knowledge and Data Engineering 27.3 (2014): 810-823.
- property alpha_d: float#
Significance level d property.
- Returns:
significance level d
- Return type:
float
- property alpha_w: float#
Significance level w property.
- Returns:
significance level w
- Return type:
float
- property drift_level: float#
Drift level property.
- Returns:
drift level to use in detecting drift
- Return type:
float
- property min_num_instances: int#
Minimum number of instances property.
- Returns:
minimum number of instances to start looking for changes
- Return type:
int
- property two_sided_test: bool#
Two-sided test flag property.
- Returns:
two-sided test flag
- Return type:
float
- property warning_level: float#
Warning level property.
- Returns:
warning level to use in detecting drift
- Return type:
float