OutlierSampleDetection.add_condition_outlier_ratio_less_or_equal#
- OutlierSampleDetection.add_condition_outlier_ratio_less_or_equal(max_outliers_ratio: float = 0.005, outlier_score_threshold: float = 0.7)[source]#
Add condition - ratio of samples over outlier score is less or equal to the threshold.
- Parameters
- max_outliers_ratiofloat , default: 0.005
Maximum ratio of outliers allowed in dataset.
- outlier_score_thresholdfloat, default: 0.7
Outlier probability score threshold to be considered outlier.