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SGDRegressor — scikit-learn 1.5.2 documentation
l1_ratio <= 1. l1_ratio=0 corresponds to L2 penalty, l1_ratio=1 to L1....True , verbose = 0 , epsilon = 0.1 , random_state = None , learning_rate...scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDRegressor.html -
make_swiss_roll — scikit-learn 1.5.2 documentation
algorithm is from Marsland [1]. References [ 1 ] S. Marsland, “Machine...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_swiss_roll.html -
ARDRegression — scikit-learn 1.5.2 documentation
[ 1 , 1 ], [ 2 , 2 ]], [ 0 , 1 , 2 ]) ARDRegression()...>>> clf . predict ([[ 1 , 1 ]]) array([1.]) fit ( X , y ) [source]...scikit-learn.org/stable/modules/generated/sklearn.linear_model.ARDRegression.html -
DecisionBoundaryDisplay — scikit-learn 1.5.2 do...
Added in version 1.1. Parameters : xx0 ndarray of...iris . data [:, 1 ] . min (), iris . data [:, 1 ] . max ()) ......scikit-learn.org/stable/modules/generated/sklearn.inspection.DecisionBoundaryDisplay.html -
train_test_split — scikit-learn 1.5.2 documenta...
scikit-learn 1.5 Release Highlights for scikit-learn 1.5 Release...scikit-learn 1.4 Release Highlights for scikit-learn 1.4 Release...scikit-learn.org/stable/modules/generated/sklearn.model_selection.train_test_split.html -
SpectralCoclustering — scikit-learn 1.5.2 docum...
array ([[ 1 , 1 ], [ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7...clustering . row_labels_ array([0, 1, 1, 0, 0, 0], dtype=int32) >>>...scikit-learn.org/stable/modules/generated/sklearn.cluster.SpectralCoclustering.html -
About us — scikit-learn 1.6.dev0 documentation
organization budget of the project [ 1 ] . Notes Infrastructure support...scikit-learn.org/dev/about.html -
BaggingRegressor — scikit-learn 1.5.2 documenta...
max_samples = 1.0 , max_features = 1.0 , bootstrap = True...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.ensemble.BaggingRegressor.html -
LocallyLinearEmbedding — scikit-learn 1.5.2 doc...
n_neighbors > n_components * (1 + (n_components + 1) / 2 . see reference...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.manifold.LocallyLinearEmbedding.html -
mean_pinball_loss — scikit-learn 1.5.2 document...
[ 1 , 2 , 4 ], alpha = 0.1 ) np.float64(0.3...)...scikit-learn 1.0 Release Highlights for scikit-learn 1.0 Features...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_pinball_loss.html