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KernelPCA — scikit-learn 1.6.0 documentation
coef0 = 1 , kernel_params = None , alpha = 1.0 , fit_inverse_transform...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.decomposition.KernelPCA.html -
LocallyLinearEmbedding — scikit-learn 1.7.dev0 ...
n_neighbors > n_components * (1 + (n_components + 1) / 2 . see reference...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/dev/modules/generated/sklearn.manifold.LocallyLinearEmbedding.html -
Version 1.6 — scikit-learn 1.7.dev0 documentation
was deprecated in 1.6 and will be removed in 1.8. It has no effect...GitHub Choose version Version 1.6 # For a short description of...scikit-learn.org/dev/whats_new/v1.6.html -
4.1. Partial Dependence and Individual Conditio...
1.1. Partial dependence plots # Partial..., learning_rate = 1.0 , ... max_depth = 1 , random_state = 0...scikit-learn.org/stable/modules/partial_dependence.html -
SVC — scikit-learn 1.6.0 documentation
array ([[ - 1 , - 1 ], [ - 2 , - 1 ], [ 1 , 1 ], [ 2 , 1 ]]) >>>...default=-1 Hard limit on iterations within solver, or -1 for no...scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html -
KNeighborsTransformer — scikit-learn 1.7.dev0 d...
() array([[1., 0., 1.], [0., 1., 1.], [1., 0., 1.]]) set_output...bors=1) >>> print ( neigh . kneighbors ([[ 1. , 1. , 1. ]]))...scikit-learn.org/dev/modules/generated/sklearn.neighbors.KNeighborsTransformer.html -
CCA — scikit-learn 1.6.0 documentation
1 , - 0.2 ], [ 0.9 , 1.1 ], [ 6.2 , 5.9 ],...version 1.5: Y is deprecated in 1.5 and will be removed in 1.7. Use...scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.CCA.html -
DotProduct — scikit-learn 1.6.0 documentation
1)\) priors on the coefficients of \(x_d (d = 1, . . ....nels. DotProduct ( sigma_0 = 1.0 , sigma_0_bounds = (1e-05, 100000.0)...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.DotProduct.html -
MeanShift — scikit-learn 1.6.0 documentation
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.MeanShift.html -
QuadraticDiscriminantAnalysis — scikit-learn 1....
([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2...2 , 1 ], [ 3 , 2 ]]) >>> y = np . array ([ 1 , 1 , 1 , 2 , 2...scikit-learn.org/stable/modules/generated/sklearn.discriminant_analysis.QuadraticDiscriminantAnal...