dataeval.core.rank_result_stratified¶

dataeval.core.rank_result_stratified(result, num_bins=50)¶

Transform RankResult indices using stratified sampling.

Takes a RankResult and applies stratified sampling to balance selection across score bins.

Parameters:¶

result : RankResult¶

Ranking result including indices and scores.

num_bins : int, default 50¶

Number of bins for stratification.

Returns:¶

Reordered indices in easy_first order with stratified sampling applied.

Return type:¶

NDArray[np.intp]

Raises:¶

ValueError – If result does not contain scores.