issue-link js-issue-link" data-error-text="Failed to load title" data-id="103154918" data-permission-text="Title is private" data-url="https://github.com/scikit-learn/scikit-learn/issues/5161" data-hovercard-type="pull_request" data-hovercard-url="/scikit-learn/scikit-learn/pull/5161/hovercard" href="https://github.com/scikit-learn/scikit-learn/pull/5161">scikit-learn#5161 - - MAINT remove redundant p variable - - Add check for sparse prediction in cross_val_predict - From scikit-learn#5201 - DOC improve random_state param doc - From scikit-learn#5190 - LabelKFold and test - From scikit-learn#4583 - LabelShuffleSplit and tests - From scikit-learn#5300 - shuffle the `labels` not the `indxs` in LabelKFold + tests - From scikit-learn#5378 - Make the GridSearchCV docs more accurate. - From scikit-learn#5458 - Remove shuffle from LabelKFold - From scikit-learn#5466(scikit-learn#4270) - Gaussian Process by Jan Metzen - From scikit-learn#4826 - Move custom error / warnings into sklearn.exception Minor ----- * ENH Make the KFold shuffling test stronger * FIX/DOC Use the higher level model_selection module as ref * DOC in check_cv "y : array-like, optional" * DOC a supervised learning problem --> supervised learning problems * DOC cross-validators --> cross-validation strategies * DOC Correct Olivier Grisel's name ;) * MINOR/FIX cv_indices --> kfold * FIX/DOC Align the 'See also' section of the new KFold, LeaveOneOut * TST/FIX imports on separate lines * FIX use __class__ instead of classmethod * TST/FIX import directly from model_selection * COSMIT Relocate the random_state documentation * COSMIT remove pass * MAINT Remove deprecation warnings from old tests * FIX correct import at test_split * FIX/MAINT Move P_sparse, X, y defns to top; rm unused W_sparse, X_sparse * FIX random state to avoid doctest failure * TST n_splits and split wrapping of _CVIterableWrapper * FIX/MAINT Use multilabel indicator matrix directly * TST/DOC clarify why we conflate classes 0 and 1 * DOC add comment that this was taken from BaseEstimator * FIX use of labels is not needed in stratified k fold * Fix cross_validation reference * Fix the labels param doc

Uh oh!