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sklearn.kernel_ridge — scikit-learn 1.5.2 docum...
Kernel ridge regression. User guide. See the Kernel ridge regression section for further details.scikit-learn.org/stable/api/sklearn.kernel_ridge.html -
12. Choosing the right estimator — scikit-learn...
Often the hardest part of solving a machine learning problem can be finding the right estimator for the job. Different estimators are better suited for different types of data and different problem...scikit-learn.org/stable/machine_learning_map.html -
johnson_lindenstrauss_min_dim — scikit-learn 1....
defined by: (1 - eps) ||u - v||^2 < ||p(u) - p(v)||^2 < (1 + eps) ||u...]0, 1[ and p is a projection by a random Gaussian N(0, 1) matrix...scikit-learn.org/stable/modules/generated/sklearn.random_projection.johnson_lindenstrauss_min_dim... -
RepeatedStratifiedKFold — scikit-learn 1.5.2 do...
array ([[ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ]])...>>> y = np . array ([ 0 , 0 , 1 , 1 ]) >>> rskf = RepeatedStratifiedKF...scikit-learn.org/stable/modules/generated/sklearn.model_selection.RepeatedStratifiedKFold.html -
kneighbors_graph — scikit-learn 1.5.2 documenta...
() array([[1., 0., 1.], [0., 1., 1.], [1., 0., 1.]]) Gallery...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.neighbors.kneighbors_graph.html -
Release Highlights for scikit-learn 1.3 — sciki...
scikit-learn 1.1 Release Highlights for scikit-learn 1.1 Release Highlights...array ([ 0 , 1 , 6 , np . nan ]) . reshape ( - 1 , 1 ) y = [ 0 ,...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_3_0.html -
Release Highlights for scikit-learn 1.4 — sciki...
0 1.0 0.862662 1.0 0.0 1.401826 0.0 1.0 -0.754829 1.0 0.0...array ([ 0 , 1 , 6 , np . nan ]) . reshape ( - 1 , 1 ) y = [ 0 ,...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_4_0.html -
GroupShuffleSplit — scikit-learn 1.5.2 document...
index=[0 1], group=[1 1] Fold 1: Train: index=[0 1 5 6 7], group=[1...shape = ( 8 , 1 )) >>> groups = np . array ([ 1 , 1 , 2 , 2 , 2...scikit-learn.org/stable/modules/generated/sklearn.model_selection.GroupShuffleSplit.html -
ElasticNetCV — scikit-learn 1.5.2 documentation
l1_ratio = 1 it is an L1 penalty. For 0 < l1_ratio < 1 , the penalty...(i.e. Ridge), as in [.1, .5, .7, .9, .95, .99, 1] . eps float, default=1e-3...scikit-learn.org/stable/modules/generated/sklearn.linear_model.ElasticNetCV.html -
LinearRegression — scikit-learn 1.5.2 documenta...
([[ 1 , 1 ], [ 1 , 2 ], [ 2 , 2 ], [ 2 , 3 ]]) >>> # y = 1 * x_0...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LinearRegression.html