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spectral_embedding — scikit-learn 1.7.2 documen...
Added in version 1.2: Added ‘auto’ option. norm_laplacian...scikit-learn.org/stable/modules/generated/sklearn.manifold.spectral_embedding.html -
OneToOneFeatureMixin — scikit-learn 1.7.2 docum...
This mixin assumes there’s a 1-to-1 correspondence between input...shape [ 1 ] ... return self >>> X = np . array ([[ 1 , 2 ], [...scikit-learn.org/stable/modules/generated/sklearn.base.OneToOneFeatureMixin.html -
Decision Tree Regression with AdaBoost — scikit...
regr_1 . fit ( X , y ) regr_2 . fit ( X , y ) y_1 = regr_1 . predict...X , y_1 , color = colors [ 1 ], label = "n_estimators=1" , linewidth...scikit-learn.org/stable/auto_examples/ensemble/plot_adaboost_regression.html -
ParameterSampler — scikit-learn 1.7.2 documenta...
'a' : 1 }, ... { 'b' : 0.923223 , 'a' : 1 }, ... { 'b' : 1.878964...0 ) >>> param_grid = { 'a' :[ 1 , 2 ], 'b' : expon ()} >>> param_list...scikit-learn.org/stable/modules/generated/sklearn.model_selection.ParameterSampler.html -
_safe_indexing — scikit-learn 1.7.2 documentation
array([1, 2]) >>> _safe_indexing ( data , 0 , axis = 1 ) # select...integer are supported. If axis=1 : to select a single column, indices...scikit-learn.org/stable/modules/generated/sklearn.utils._safe_indexing.html -
Sum — scikit-learn 1.7.2 documentation
y ) 1.0 >>> kernel 1.41**2 + RBF(length_scale=1) __call__...kernel takes two kernels \(k_1\) and \(k_2\) and combines them...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Sum.html -
binarize — scikit-learn 1.7.2 documentation
1., 0.], [1., 0., 0.]]) On this page...are replaced by 0, above it by 1. Threshold may not be less than...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.binarize.html -
img_to_graph — scikit-learn 1.7.2 documentation
1], [0, 0, 0, 1], [0, 1, 1, 1]]) On this page...np . array ([[ 0 , 0 ], [ 0 , 1 ]]) >>> img_to_graph ( img , return_as...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.image.img_to_graph.html -
Gaussian Mixture Model Ellipsoids — scikit-lear...
1 , 1 + index ) for i , ( mean , covar...= np . array ([[ 0.0 , - 0.1 ], [ 1.7 , 0.4 ]]) X = np . r_ [...scikit-learn.org/stable/auto_examples/mixture/plot_gmm.html -
PatchExtractor — scikit-learn 1.7.2 documentation
1), it is taken to mean a proportion...load_sample_images () . images [ 1 ] >>> X = X [ None , ... ] >>>...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.image.PatchExtractor.html