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SGDRegressor — scikit-learn 1.7.2 documentation
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...coefficient of determination, \(R^2\) , is defined as \((1 - \frac{u}{v})\)...scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDRegressor.html -
PassiveAggressiveRegressor — scikit-learn 1.7.2...
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...[1, n_features] if n_classes == 2 else [n_classes, n_features] Weights...scikit-learn.org/stable/modules/generated/sklearn.linear_model.PassiveAggressiveRegressor.html -
estimate_bandwidth — scikit-learn 1.7.2 documen...
[ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7...scikit-learn.org/stable/modules/generated/sklearn.cluster.estimate_bandwidth.html -
make_classification — scikit-learn 1.7.2 docume...
n_informative = 2 , n_redundant = 2 , n_repeated = 0 , n_classes = 2 , n_clusters_per_class...n_clusters_per_class = 2 , weights = None , flip_y = 0.01 , class_sep...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_classification.html -
roc_auc_score — scikit-learn 1.7.2 documentation
the standardized partial AUC [2] over the range [0, max_fpr] is...under of the ROC as follows: G = 2 * AUC - 1 Where G is the Gini...scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html -
enet_path — scikit-learn 1.7.2 documentation
it is: 1 / ( 2 * n_samples ) * || y - Xw ||^ 2_2 + alpha * l1_ratio...|| w ||^ 2_2 For multi-output tasks it is: ( 1 / ( 2 * n_samples...scikit-learn.org/stable/modules/generated/sklearn.linear_model.enet_path.html -
ExtraTreeRegressor — scikit-learn 1.7.2 documen...
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...= None , min_samples_split = 2 , min_samples_leaf = 1 , min_...scikit-learn.org/stable/modules/generated/sklearn.tree.ExtraTreeRegressor.html -
label_binarize — scikit-learn 1.7.2 documentation
2 , 4 , 6 ]) array([[1, 0, 0, 0],...6 ], classes = [ 1 , 6 , 4 , 2 ]) array([[1, 0, 0, 0], [0, 1,...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.label_binarize.html -
kneighbors_graph — scikit-learn 1.7.2 documenta...
p = 2 , metric_params = None , include_self...standard Euclidean distance when p = 2. See the documentation of scipy.spatial.distance...scikit-learn.org/stable/modules/generated/sklearn.neighbors.kneighbors_graph.html -
available_if — scikit-learn 1.7.2 documentation
x % 2 == 0 ... ... @available_if ( _x_is_even..."say_hello" ) False >>> obj . x = 2 >>> hasattr ( obj , "say_hello"...scikit-learn.org/stable/modules/generated/sklearn.utils.metaestimators.available_if.html