sklearn.model_selection

Tools for model selection, such as cross validation and hyper-parameter tuning.

User guide. See the Cross-validation: evaluating estimator performance, Tuning the hyper-parameters of an estimator, and Learning curve sections for further details.

Splitters

GroupKFold	K-fold iterator variant with non-overlapping groups.
GroupShuffleSplit	Shuffle-Group(s)-Out cross-validation iterator.
KFold	K-Fold cross-validator.
LeaveOneGroupOut	Leave One Group Out cross-validator.
LeaveOneOut	Leave-One-Out cross-validator.
LeavePGroupsOut	Leave P Group(s) Out cross-validator.
LeavePOut	Leave-P-Out cross-validator.
PredefinedSplit	Predefined split cross-validator.
RepeatedKFold	Repeated K-Fold cross validator.
RepeatedStratifiedKFold	Repeated Stratified K-Fold cross validator.
ShuffleSplit	Random permutation cross-validator.
StratifiedGroupKFold	Stratified K-Fold iterator variant with non-overlapping groups.
StratifiedKFold	Stratified K-Fold cross-validator.
StratifiedShuffleSplit	Stratified ShuffleSplit cross-validator.
TimeSeriesSplit	Time Series cross-validator.
check_cv	Input checker utility for building a cross-validator.
train_test_split	Split arrays or matrices into random train and test subsets.

Hyper-parameter optimizers

GridSearchCV	Exhaustive search over specified parameter values for an estimator.
HalvingGridSearchCV	Search over specified parameter values with successive halving.
HalvingRandomSearchCV	Randomized search on hyper parameters.
ParameterGrid	Grid of parameters with a discrete number of values for each.
ParameterSampler	Generator on parameters sampled from given distributions.
RandomizedSearchCV	Randomized search on hyper parameters.

Post-fit model tuning

FixedThresholdClassifier	Binary classifier that manually sets the decision threshold.
TunedThresholdClassifierCV	Classifier that post-tunes the decision threshold using cross-validation.

Model validation

cross_val_predict	Generate cross-validated estimates for each input data point.
cross_val_score	Evaluate a score by cross-validation.
cross_validate	Evaluate metric(s) by cross-validation and also record fit/score times.
learning_curve	Learning curve.
permutation_test_score	Evaluate the significance of a cross-validated score with permutations.
validation_curve	Validation curve.

Visualization

LearningCurveDisplay	Learning Curve visualization.
ValidationCurveDisplay	Validation Curve visualization.