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NearestCentroid — scikit-learn 1.7.2 documentation
2 ]]) >>> y = np . array ([ 1 , 1 , 1 , 2 , 2 , 2 ]) >>>...- 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2 , 1 ], [ 3...scikit-learn.org/stable/modules/generated/sklearn.neighbors.NearestCentroid.html -
LassoCV — scikit-learn 1.7.2 documentation
is: ( 1 / ( 2 * n_samples )) * || y - Xw ||^ 2_2 + alpha * ||...is: ( 1 / ( 2 * n_samples )) * || y - Xw ||^ 2_2 + alpha * ||...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoCV.html -
KNeighborsClassifier — scikit-learn 1.7.2 docum...
array([[2]])) As you can see, it returns [[0.5]], and [[2]], which...'auto' , leaf_size = 30 , p = 2 , metric = 'minkowski' , metric_params...scikit-learn.org/stable/modules/generated/sklearn.neighbors.KNeighborsClassifier.html -
LabelBinarizer — scikit-learn 1.7.2 documentation
2 , 6 , 4 , 2 ]) LabelBinarizer() >>>...array([0, 1, 2]) >>> lb . transform ([ 0 , 1 , 2 , 1 ]) array([[1,...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelBinarizer.html -
Isomap — scikit-learn 1.7.2 documentation
n_components = 2 , eigen_solver = 'auto' , tol..., metric = 'minkowski' , p = 2 , metric_params = None ) [source]...scikit-learn.org/stable/modules/generated/sklearn.manifold.Isomap.html -
HuberRegressor — scikit-learn 1.7.2 documentation
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...penalty is equal to alpha * ||w||^2 . Must be in the range [0, inf)...scikit-learn.org/stable/modules/generated/sklearn.linear_model.HuberRegressor.html -
AdaBoostRegressor — scikit-learn 1.7.2 document...
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...algorithm known as AdaBoost.R2 [2]. Read more in the User Guide...scikit-learn.org/stable/modules/generated/sklearn.ensemble.AdaBoostRegressor.html -
pairwise_distances — scikit-learn 1.7.2 documen...
2.], [2., 1.]]) Gallery examples #...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise_distances.html -
PCA — scikit-learn 1.7.2 documentation
[ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2 , 1 ], [ 3...3 , 2 ]]) >>> pca = PCA ( n_components = 2 ) >>> pca . fit (...scikit-learn.org/stable/modules/generated/sklearn.decomposition.PCA.html -
OrthogonalMatchingPursuit — scikit-learn 1.7.2 ...
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.OrthogonalMatchingPursuit.html