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LinearDiscriminantAnalysis — scikit-learn 1.7.2...
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.discriminant_analysis.LinearDiscriminantAnalysi... -
GridSearchCV — scikit-learn 1.7.2 documentation
split0_test_score … rank_t… ‘poly’ – 2 0.80 … 2 ‘poly’ – 3 0.70 … 4 ‘rbf’...verbose = 0 , pre_dispatch = '2*n_jobs' , error_score = nan ,...scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html -
KernelRidge — 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.kernel_ridge.KernelRidge.html -
BisectingKMeans — scikit-learn 1.7.2 documentation
2, 0, 2, 0, 2, 1, 1, 1], dtype=int32)...], ... [ 10 , 0 ], [ 2 , 1 ], [ 10 , 2 ], ... [ 10 , 8 ], [ 10...scikit-learn.org/stable/modules/generated/sklearn.cluster.BisectingKMeans.html -
LedoitWolf — scikit-learn 1.7.2 documentation
2 ], ... [ .2 , .8 ]]) >>> np . random...Multivariate Analysis, Volume 88, Issue 2, February 2004, pages 365-411....scikit-learn.org/stable/modules/generated/sklearn.covariance.LedoitWolf.html -
DecisionBoundaryDisplay — scikit-learn 1.7.2 do...
2) Input data that should be only 2-dimensional....load_iris () >>> feature_1 , feature_2 = np . meshgrid ( ... np . linspace...scikit-learn.org/stable/modules/generated/sklearn.inspection.DecisionBoundaryDisplay.html -
TruncatedSVD — scikit-learn 1.7.2 documentation
TruncatedSVD ( n_components = 2 , * , algorithm = 'randomized'...Parameters : n_components int, default=2 Desired dimensionality of output...scikit-learn.org/stable/modules/generated/sklearn.decomposition.TruncatedSVD.html -
hinge_loss — scikit-learn 1.7.2 documentation
([[ - 2 ], [ 3 ], [ 0.5 ]]) >>> pred_decision array([-2.18, 2.36,...[ 1 ], [ 2 ], [ 3 ]]) >>> Y = np . array ([ 0 , 1 , 2 , 3 ]) >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.hinge_loss.html -
GaussianMixture — scikit-learn 1.7.2 documentation
2 ], [ 1 , 4 ], [ 1 , 0 ], [ 10 , 2 ], [ 10 , 4 ],...gm . means_ array([[10., 2.], [ 1., 2.]]) >>> gm . predict ([[...scikit-learn.org/stable/modules/generated/sklearn.mixture.GaussianMixture.html -
SpectralCoclustering — scikit-learn 1.7.2 docum...
[ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7...SpectralCoclustering ( n_clusters = 2 , random_state = 0 ) . fit ( X...scikit-learn.org/stable/modules/generated/sklearn.cluster.SpectralCoclustering.html