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mean_pinball_loss — scikit-learn 1.8.0 document...
1 ) 0.03... >>> mean_pinball_loss ( y_true , [ 1 , 2 ,...scikit-learn 1.0 Release Highlights for scikit-learn 1.0 On this...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_pinball_loss.html -
gen_even_slices — scikit-learn 1.8.0 documentation
1, None), slice(1, 2, None), ..., slice(9,...list ( gen_even_slices ( 10 , 1 )) [slice(0, 10, None)] >>> list...scikit-learn.org/stable/modules/generated/sklearn.utils.gen_even_slices.html -
mean_squared_log_error — scikit-learn 1.8.0 doc...
1 ], [ 1 , 2 ], [ 7 , 6 ]] >>> y_pred...y_pred = [[ 0.5 , 2 ], [ 1 , 2.5 ], [ 8 , 8 ]] >>> mean_squared_log_error...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_squared_log_error.html -
precision_recall_curve — scikit-learn 1.8.0 doc...
y_true is in {-1, 1} or {0, 1}, pos_label is set to 1, otherwise...0.66666667, 0.5 , 1. , 1. ]) >>> recall array([1. , 1. , 0.5, 0.5,...scikit-learn.org/stable/modules/generated/sklearn.metrics.precision_recall_curve.html -
make_friedman3 — scikit-learn 1.8.0 documentation
1 ] <= 560 * pi , 0 <= X [:, 2 ] <= 1 , 1 <= X [:, 3...arctan (( X [:, 1 ] * X [:, 2 ] - 1 / ( X [:, 1 ] * X [:, 3 ]))...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_friedman3.html -
MultiOutputRegressor — scikit-learn 1.8.0 docum...
means 1 unless in a joblib.parallel_backend context. -1 means...X [[ 0 ]]) array([[176, 35.1, 57.1]]) fit ( X , y , sample_weight...scikit-learn.org/stable/modules/generated/sklearn.multioutput.MultiOutputRegressor.html -
grid_to_graph — scikit-learn 1.8.0 documentation
0) 1 (1, 1) 1 On this page This Page...dtype = bool ) >>> mask [[ 1 , 2 ], [ 1 , 2 ], :] = True >>> graph...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.image.grid_to_graph.html -
sigmoid_kernel — scikit-learn 1.8.0 documentation
[ 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 -
add_dummy_feature — scikit-learn 1.8.0 document...
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 -
pairwise_distances_argmin_min — scikit-learn 1....
[ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0 ]] >>>...argmin array([0, 1]) >>> distances array([1., 1.]) On this page...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise_distances_argmin_min.html