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.