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Displaying estimators and complex pipelines — s...
('standardscaler', StandardScaler())]), ('feat1', 'feat3')), ('pipeline-2', ...transformers [('pipeline-1', ...), ('pipeline-2', ...)] remainder 'drop'...scikit-learn.org/stable/auto_examples/miscellaneous/plot_estimator_representation.html -
SVM Margins Example — scikit-learn 1.7.1 docume...
in (( "unreg" , 1 ), ( "reg" , 0.05 )): clf = svm . SVC ( kernel..., "k-" ) plt . plot ( xx , yy_down , "k--" ) plt . plot ( xx...scikit-learn.org/stable/auto_examples/svm/plot_svm_margin.html -
Plot different SVM classifiers in the iris data...
10000 ), svm . SVC ( kernel = "rbf" , gamma = 0.7 , C = C ),..., hspace = 0.4 ) X0 , X1 = X [:, 0 ], X [:, 1 ] for clf , title...scikit-learn.org/stable/auto_examples/svm/plot_iris_svc.html -
Nearest Centroid Classification — scikit-learn ...
ListedColormap ([ "orange" , "cyan" , "cornflowerblue" ]) cmap_bold...ListedColormap ([ "darkorange" , "c" , "darkblue" ]) for shrinkage...scikit-learn.org/stable/auto_examples/neighbors/plot_nearest_centroid.html -
Multioutput methods — scikit-learn 1.7.1 docume...
top Ctrl + K GitHub Choose version Multioutput methods # Examples...concerning the sklearn.multioutput module. Multilabel classification...scikit-learn.org/stable/auto_examples/multioutput/index.html -
CategoricalNB — scikit-learn 1.7.1 documentation
6 , 100 )) >>> y = np . array ([ 1 , 2 , 3 , 4 , 5 , 6 ]) >>>...sklearn.naive_bayes. CategoricalNB ( * , alpha = 1.0 , force_alpha...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.CategoricalNB.html -
dict_learning_online — scikit-learn 1.7.1 docum...
details. method {‘lars’, ‘cd’}, default=’lars’ 'lars' : uses...20 , n_nonzero_coefs = 10 , ... random_state = 42 , ... ) >>>...scikit-learn.org/stable/modules/generated/sklearn.decomposition.dict_learning_online.html -
silhouette_score — scikit-learn 1.7.1 documenta...
kmeans . fit_predict ( X )) 0.49... Gallery examples # Demo of affinity...for a sample is (b - a) / max(a, b) . To clarify, b is the distance...scikit-learn.org/stable/modules/generated/sklearn.metrics.silhouette_score.html -
label_binarize — scikit-learn 1.7.1 documentation
label_binarize ([ 'yes' , 'no' , 'no' , 'yes' ], classes = [ 'no' , 'yes'...label_binarize ([ 1 , 6 ], classes = [ 1 , 2 , 4 , 6 ]) array([[1, 0, 0,...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.label_binarize.html -
make_friedman1 — scikit-learn 1.7.1 documentation
X [:, 2 ] - 0.5 ) ** 2 + 10 * X [:, 3 ] + 5 * X [:, 4 ] + noise...formula: y ( X ) = 10 * sin ( pi * X [:, 0 ] * X [:, 1 ]) + 20 * ( X...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_friedman1.html