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Poisson regression and non-normal loss — scikit...
. ... ... ... ... ... ... ... ... ... ... ... ... 678008 6114326.0..."Exposure" ] . sum () / df [ "Exposure" ] . sum () ) ) fig , ( ax0...scikit-learn.org/stable/auto_examples/linear_model/plot_poisson_regression_non_normal_loss.html -
Neighborhood Components Analysis Illustration —...
range ( X . shape [ 0 ]): ax . text ( X [ i , 0 ], X [ i , 1 ], str...str ( i ), va = "center" , ha = "center" ) ax . scatter ( X [...scikit-learn.org/stable/auto_examples/neighbors/plot_nca_illustration.html -
Swiss Roll And Swiss-Hole Reduction — scikit-le...
text2D ( 0.8 , 0.05 , s = "n_samples=1500" , transform = ax . transAxes...text2D ( 0.8 , 0.05 , s = "n_samples=1500" , transform = ax . transAxes...scikit-learn.org/stable/auto_examples/manifold/plot_swissroll.html -
Explicit feature map approximation for RBF kern...
feature_map_nystroem ), ( "svm" , svm . LinearSVC ( random_state = 42 )), ] )...( "svm" , svm . LinearSVC ( random_state = 42 )), ] ) nystroem_approx_svm...scikit-learn.org/stable/auto_examples/miscellaneous/plot_kernel_approximation.html -
Effect of transforming the targets in regressio...
y_pred ) . items (): ax . plot ([], [], " " , label = f " { name }...= 100 , random_state = 0 ) y = np . expm1 (( y + abs ( y . min...scikit-learn.org/stable/auto_examples/compose/plot_transformed_target.html -
Column Transformer with Heterogeneous Data Sour...
= ( "footers" , "quotes" ), return_X_y = True , ) Each feature...text ), "num_sentences" : text . count ( "." )} for text in posts...scikit-learn.org/stable/auto_examples/compose/plot_column_transformer.html -
Multilabel classification — scikit-learn 1.7.1 ...
zero_class = ( Y [:, 0 ]) . nonzero () one_class = ( Y [:, 1 ]) . nonzero...nonzero () plt . scatter ( X [:, 0 ], X [:, 1 ], s = 40 , c = "gray"...scikit-learn.org/stable/auto_examples/miscellaneous/plot_multilabel.html -
Multi-dimensional scaling — scikit-learn 1.7.1 ...
1.0 , 1.0 ]) s = 100 plt . scatter ( X_true [:, 0 ], X_true...original data. X_nmds *= np . sqrt (( X_true ** 2 ) . sum ()) / np ....scikit-learn.org/stable/auto_examples/manifold/plot_mds.html -
Novelty detection with Local Outlier Factor (LO...
linspace ( Z . min (), 0 , 7 ), cmap = plt . cm . PuBu ) a = plt ...."gold" , s = s , edgecolors = "k" ) plt . axis ( "tight" ) plt...scikit-learn.org/stable/auto_examples/neighbors/plot_lof_novelty_detection.html -
Plot multi-class SGD on the iris dataset — scik...
xmin , xmax ], [ line ( xmin ), line ( xmax )], ls = "--" , color...alpha = 0.001 , max_iter = 100 ) . fit ( X , y ) ax = plt . gca ()...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_iris.html