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Lasso, Lasso-LARS, and Elastic Net paths — scik...
"b" , "r" , "g" , "c" , "k" ]) for coef_lasso , coef_lars , c...[ - 1 ]), ( "Lasso" , "LARS" ), loc = "lower right" ) plt . axis...scikit-learn.org/stable/auto_examples/linear_model/plot_lasso_lasso_lars_elasticnet_path.html -
HuberRegressor vs Ridge on dataset with strong ...
values. colors = [ "r-" , "b-" , "y-" , "m-" ] x = np . linspace...min () - X . mean () / 4.0 y_outliers [: 2 ] += y . min () - y...scikit-learn.org/stable/auto_examples/linear_model/plot_huber_vs_ridge.html -
Robust linear model estimation using RANSAC — s...
arange ( X . min (), X . max ())[:, np . newaxis ] line_y = lr . predict...], color = "gold" , marker = "." , label = "Outliers" ) plt ....scikit-learn.org/stable/auto_examples/linear_model/plot_ransac.html -
SVM: Maximum margin separating hyperplane — sci...
= 0.5 , linestyles = [ "--" , "-" , "--" ], ax = ax , ) # plot...plot_method = "contour" , colors = "k" , levels = [ - 1 , 0 , 1 ], alpha...scikit-learn.org/stable/auto_examples/svm/plot_separating_hyperplane.html -
ClassNamePrefixFeaturesOutMixin — scikit-learn ...
np . array ([[ 1 , 2 ], [ 3 , 4 ]]) >>> MyEstimator () . fit...fit ( X ) . get_feature_names_out () array(['myestimator0', 'myestimator1'],...scikit-learn.org/stable/modules/generated/sklearn.base.ClassNamePrefixFeaturesOutMixin.html -
get_config — scikit-learn 1.7.1 documentation
get_config () >>> config . keys () dict_keys([...]) On this page...get_config ( ) [source] # Retrieve the current scikit-learn configuration....scikit-learn.org/stable/modules/generated/sklearn.get_config.html -
Probability Calibration curves — scikit-learn 1...
0 ), ( 2 , 1 ), ( 3 , 0 ), ( 3 , 1 )] for i , ( _ , name ) in..., "Logistic" ), ( gnb , "Naive Bayes" ), ( gnb_isotonic , "Naive...scikit-learn.org/stable/auto_examples/calibration/plot_calibration_curve.html -
Linear and Quadratic Discriminant Analysis with...
np . array ([[ 0.0 , - 1.0 ], [ 2.5 , 0.7 ]]) * 2.0 cov_class_2...covariance , seed = 0 , ) covariance = np . array ([[ 0.0 , - 0.23 ],...scikit-learn.org/stable/auto_examples/classification/plot_lda_qda.html -
A demo of the Spectral Co-Clustering algorithm ...
])) print ( "consensus score: {:.3f} " . format ( score )) fit_data...plt . cm . Blues ) plt . title ( "Original dataset" ) # shuffle...scikit-learn.org/stable/auto_examples/bicluster/plot_spectral_coclustering.html -
Release Highlights for scikit-learn 1.4 — sciki...
f64 -0.215666 0.0 1.0 0.862662 1.0 0.0 1.401826 0.0 1.0 -0.754829...100 ], "pet" : [ "dog" , "cat" , "dog" , "cat" , "cat" ]} ) preprocessor...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_4_0.html