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SVC — scikit-learn 1.8.0 documentation
[ - 2 , - 1 ], [ 1 , 1 ], [ 2 , 1 ]]) >>>...>>> y = np . array ([ 1 , 1 , 2 , 2 ]) >>> from sklearn.svm...scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html -
rand_score — scikit-learn 1.8.0 documenta...
of Classification 2, 193–218 (1985). . [ 2 ] Wikipedia: Simple...predicted and true clusterings [1] [2] . The raw RI score [3] is: RI...scikit-learn.org/stable/modules/generated/sklearn.metrics.rand_score.html -
dict_learning_online — scikit-learn 1.8.0...
X_hat - X ) ** 2 , axis = 1 ) / np . sum ( X ** 2 , axis = 1 ))...dict_learning_online ( X , n_components = 2 , * , alpha = 1 , max_iter = 100...scikit-learn.org/stable/modules/generated/sklearn.decomposition.dict_learning_online.html -
neighbors.rst.txt
[-2, -1], [-3, -2], [1, 1], [2, 1], [3, 2]]) >>> nbrs...np.array([[-1, -1], [-2, -1], [-3, -2], [1, 1], [2, 1], [3, 2]]) >>> kdt...scikit-learn.org/stable/_sources/modules/neighbors.rst.txt -
Visualizing the probabilistic predictions of a ...
SplineTransformer ( degree = 2 , n_knots = 2 ), PolynomialFeatures (...SplineTransformer(degree=2, n_knots=2)), ('polynomialfeatures',...scikit-learn.org/stable/auto_examples/ensemble/plot_voting_decision_regions.html -
Release Highlights for scikit-learn 1.4 —...
2 Release Highlights for scikit-learn 1.2 Release Highlights..."adult" , version = 2 , return_X_y = True ) # Remove...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_4_0.html -
BisectingKMeans — scikit-learn 1.8.0 docu...
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 -
Image denoising using dictionary learning ̵...
2 , 2 ) difference = image - reference...copy () distorted [:, width // 2 :] += 0.075 * np . random . randn...scikit-learn.org/stable/auto_examples/decomposition/plot_image_denoising.html -
d2_pinball_score — scikit-learn 1.8.0 doc...
Notes Like \(R^2\) , \(D^2\) score may be negative (it...], [ 2 ], [ 3 ], [ 4 ]]) >>> y = np . array ([ 2.5 ,...scikit-learn.org/stable/modules/generated/sklearn.metrics.d2_pinball_score.html -
Normal, Ledoit-Wolf and OAS Linear Discriminant...
centers = [[ - 2 ], [ 2 ]]) # add non-discriminative...features_samples_ratio , acc_clf1 , linewidth = 2 , label = "LDA" , color...scikit-learn.org/stable/auto_examples/classification/plot_lda.html