Module split 

Train/test splitting and cross-validation utilities.

Structs

RepeatedKFold

Repeated k-fold cross-validation.

Functions

cross_val_predict

Out-of-fold predictions for every sample.

cross_val_score

Run k-fold cross-validation, returning per-fold scores.

cross_val_score_stratified

Stratified k-fold cross-validation — preserves class balance in each fold.

group_k_fold

Group-aware k-fold: no group appears in both train and test within a fold.

k_fold

K-fold cross-validation splits.

repeated_cross_val_score

Convenience: run repeated k-fold CV on a clonable model.

stratified_k_fold

Stratified k-fold cross-validation.

stratified_split

Stratified train/test split — preserves class proportions.

time_series_split

Time-series cross-validation with expanding training window.

train_test_split

Split a dataset into training and test sets.

Type Aliases

ScoringFn

Scoring function signature: (y_true, y_pred) -> score.