dataeval.quality.Outliers.Config¶

class dataeval.quality.Outliers.Config¶

Configuration for Outliers detector.

flags¶

Statistics to compute for image statistics-based outlier detection.

Type:¶

ImageStats, default ImageStats.DIMENSION | ImageStats.PIXEL | ImageStats.VISUAL

outlier_method¶

Statistical method used to identify outliers.

Type:¶

{“zscore”, “modzscore”, “iqr”}, default “modzscore”

outlier_threshold¶

Threshold value for the outlier method.

Type:¶

float or None, default None

cluster_threshold¶

Number of standard deviations from cluster center for cluster-based detection.

Type:¶

float, default 2.5

extractor¶

Feature extractor for cluster-based outlier detection.

Type:¶

FeatureExtractor or None, default None

cluster_algorithm¶

Clustering algorithm for cluster-based detection.

Type:¶

{“kmeans”, “hdbscan”}, default “hdbscan”

n_clusters¶

Expected number of clusters.

Type:¶

int or None, default None