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make_friedman3 — scikit-learn 1.8.0 docum...
1 ] <= 560 * pi , 0 <= X [:, 2 ] <= 1 , 1 <=...arctan (( X [:, 1 ] * X [:, 2 ] - 1 / ( X [:, 1 ] * X [:, 3 ]))...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_friedman3.html -
export_graphviz — scikit-learn 1.8.0 docu...
“x[1]”, …). class_names array-like...scikit-learn.org/stable/modules/generated/sklearn.tree.export_graphviz.html -
KMeans — scikit-learn 1.8.0 documentation
scikit-learn 1.1 Release Highlights for scikit-learn 1.1 Clustering...X = np . array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 10 , 2...scikit-learn.org/stable/modules/generated/sklearn.cluster.KMeans.html -
sigmoid_kernel — scikit-learn 1.8.0 docum...
[ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0...defaults to 1.0 / n_features. coef0 float, default=1 Constant offset...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.sigmoid_kernel.html -
grid_to_graph — scikit-learn 1.8.0 docume...
0) 1 (1, 1) 1 On this page This Page...bool ) >>> mask [[ 1 , 2 ], [ 1 , 2 ], :] = True >>>...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.image.grid_to_graph.html -
Ridge — scikit-learn 1.8.0 documentation
Ridge ( alpha = 1.0 , * , fit_intercept = True ,...shape (n_targets,)}, default=1.0 Constant that multiplies the...scikit-learn.org/stable/modules/generated/sklearn.linear_model.Ridge.html -
add_dummy_feature — scikit-learn 1.8.0 do...
1 ], [ 1 , 0 ]]) array([[1., 0., 1.], [1., 1., 0.]])...add_dummy_feature ( X , value = 1.0 ) [source] # Augment dataset...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.add_dummy_feature.html -
weighted_mode — scikit-learn 1.8.0 docume...
1 , 4 , 2 , 4 , 2 ] >>> weights = [ 1 , 1 , 1 , 1...1 , 1 , 1 ] >>> weighted_mode ( x , weights ) (array([4.]),...scikit-learn.org/stable/modules/generated/sklearn.utils.extmath.weighted_mode.html -
normalized_mutual_info_score — scikit-lea...
1 , 1 ], [ 0 , 0 , 1 , 1 ]) 1.0 >>> ...ore ([ 0 , 0 , 1 , 1 ], [ 1 , 1 , 0 , 0 ]) 1.0 If classes members...scikit-learn.org/stable/modules/generated/sklearn.metrics.normalized_mutual_info_score.html -
pairwise_distances_argmin_min — scikit-le...
[ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0...array([0, 1]) >>> distances array([1., 1.]) On this...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise_distances_argmin_min.html