[scikit-learn/scikit-learn] a8efe0: EXA Use return_X_y=True with load_digits where app...
Branch: refs/heads/master Home: https://github.com/scikit-learn/scikit-learn Commit: a8efe008767c9398ee375140e99d581559319bef https://github.com/scikit-learn/scikit-learn/commit/a8efe008767c9398ee375140... Author: Tilen Kusterle <tkusterle@gmail.com> Date: 2019-07-14 (Sun, 14 Jul 2019) Changed paths: M benchmarks/bench_plot_neighbors.py M benchmarks/bench_saga.py M doc/developers/performance.rst M doc/modules/compose.rst M doc/tutorial/statistical_inference/model_selection.rst M examples/cluster/plot_digits_linkage.py M examples/cluster/plot_kmeans_digits.py M examples/compose/plot_compare_reduction.py M examples/compose/plot_digits_pipe.py M examples/exercises/plot_cv_digits.py M examples/exercises/plot_digits_classification_exercise.py M examples/linear_model/plot_logistic_l1_l2_sparsity.py M examples/linear_model/plot_sgd_comparison.py M examples/model_selection/plot_grid_search_refit_callable.py M examples/model_selection/plot_learning_curve.py M examples/model_selection/plot_randomized_search.py M examples/model_selection/plot_validation_curve.py M examples/neighbors/plot_nca_dim_reduction.py M examples/neural_networks/plot_mlp_training_curves.py M examples/neural_networks/plot_rbm_logistic_classification.py M sklearn/kernel_approximation.py M sklearn/neural_network/tests/test_mlp.py M sklearn/neural_network/tests/test_rbm.py M sklearn/svm/tests/test_sparse.py M sklearn/tests/test_naive_bayes.py Log Message: ----------- EXA Use return_X_y=True with load_digits where appropriate (#14359)
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Tilen Kusterle