dataeval.quality.Prioritize.Config¶

class dataeval.quality.Prioritize.Config¶

Configuration for Prioritize evaluator.

encoder¶

Encoder to use for extracting embeddings from data.

Type:¶

EmbeddingEncoder or None

method¶

Ranking method to use.

Type:¶

{“knn”, “kmeans_distance”, “kmeans_complexity”}, default “knn”

k¶

Number of nearest neighbors for “knn” method.

Type:¶

int or None, default None

c¶

Number of clusters for kmeans methods.

Type:¶

int or None, default None

n_init¶

Number of K-means initializations.

Type:¶

int or “auto”, default “auto”

policy¶

Selection policy to apply after ranking.

Type:¶

{“hard_first”, “easy_first”, “stratified”, “class_balance”}, default “hard_first”

num_bins¶

Number of bins for “stratified” policy.

Type:¶

int, default 50

class_labels¶

Class labels for “class_balance” policy.

Type:¶

NDArray[np.integer] or None, default None