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oas — scikit-learn 1.8.0 documentation
References [ 1 ] ( 1 , 2 ) “Shrinkage algorithms...The regularised covariance is: (1 - shrinkage) * cov + shrinkage...scikit-learn.org/stable/modules/generated/oas-function.html -
mean_absolute_error — scikit-learn 1.8.0 docume...
1 ], [ - 1 , 1 ], [ 7 , - 6 ]] >>> y_pred...y_pred = [[ 0 , 2 ], [ - 1 , 2 ], [ 8 , - 5 ]] >>> mean_absolute_error...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_absolute_error.html -
mean_squared_error — scikit-learn 1.8.0 documen...
1 ],[ - 1 , 1 ],[ 7 , - 6 ]] >>> y_pred...y_pred = [[ 0 , 2 ],[ - 1 , 2 ],[ 8 , - 5 ]] >>> mean_squared_error...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_squared_error.html -
sklearn.datasets — scikit-learn 1.8.0 documenta...
scikit-learn.org/stable/api/sklearn.datasets.html -
make_classification — scikit-learn 1.8.0 docume...
class_sep = 1.0 , hypercube = True , shift = 0.0 , scale = 1.0 , shuffle...[np.int64(0), np.int64(0), np.int64(1), np.int64(1), np.int64(0)] Gallery...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_classification.html -
SpectralClustering — scikit-learn 1.8.0 documen...
array ([[ 1 , 1 ], [ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7...clustering . labels_ array([1, 1, 1, 0, 0, 0]) >>> clustering ...scikit-learn.org/stable/modules/generated/sklearn.cluster.SpectralClustering.html -
Label Propagation circles: Learning a complex s...
X [ labels == - 1 , 0 ], X [ labels == - 1 , 1 ], color = "darkorange"...circle), 1 (belonging to the inner circle), and -1 (unknown)....scikit-learn.org/stable/auto_examples/semi_supervised/plot_label_propagation_structure.html -
enet_path — scikit-learn 1.8.0 documentation
1.120, 0.620], [-0., -2.129, -1.128], [ 0., 23.046,...For mono-output tasks it is: 1 / ( 2 * n_samples ) * || y - Xw...scikit-learn.org/stable/modules/generated/sklearn.linear_model.enet_path.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