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Isotonic Regression — scikit-learn 1.7.1 docume...
50 , 50 , size = ( n ,)) + 50.0 * np . log1p ( np . arange ( n...len ( y ))) lc . set_linewidths ( np . full ( n , 0.5 )) fig , (...scikit-learn.org/stable/auto_examples/miscellaneous/plot_isotonic_regression.html -
Comparison of Manifold Learning methods — sciki...
"horizontal" , shrink = 0.6 , aspect = 60 , pad = 0.01 ) plt . show () def...n_components , "eigen_solver" : "auto" , "random_state" : 0 , } lle_standard...scikit-learn.org/stable/auto_examples/manifold/plot_compare_methods.html -
Manifold Learning methods on a severed sphere —...
sphere. indices = ( t < ( np . pi - ( np . pi / 8 ))) & ( t > (...( " %s : %.2g sec" % ( methods [ i ], t1 - t0 )) ax = fig . add_subplot...scikit-learn.org/stable/auto_examples/manifold/plot_manifold_sphere.html -
Underfitting vs. Overfitting — scikit-learn 1.7...
plt . ylabel ( "y" ) plt . xlim (( 0 , 1 )) plt . ylim (( - 2 ,...X ) + np . random . randn ( n_samples ) * 0.1 plt . figure ( figsize...scikit-learn.org/stable/auto_examples/model_selection/plot_underfitting_overfitting.html -
Face completion with a multi-output estimators ...
figure ( figsize = ( 2.0 * n_cols , 2.26 * n_faces )) plt . suptitle...KNeighborsRegressor (), "Linear regression" : LinearRegression (), "Ridge" : RidgeCV...scikit-learn.org/stable/auto_examples/miscellaneous/plot_multioutput_face_completion.html -
Nearest Neighbors Classification — scikit-learn...
Pipeline ( steps = [( "scaler" , StandardScaler ()), ( "knn" , KNeighborsClassifier...)) for ax , weights in zip ( axs , ( "uniform" , "distance" )):...scikit-learn.org/stable/auto_examples/neighbors/plot_classification.html -
SGD: Maximum margin separating hyperplane — sci...
np . linspace ( - 1 , 5 , 10 ) yy = np . linspace ( - 1 , 5 , 10...i , j ] = p [ 0 ] levels = [ - 1.0 , 0.0 , 1.0 ] linestyles =...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_separating_hyperplane.html -
Plot the support vectors in LinearSVC — scikit-...
linestyles = [ "--" , "-" , "--" ], ) plt . scatter ( support_vectors...figsize = ( 10 , 5 )) for i , C in enumerate ([ 1 , 100 ]): # "hinge"...scikit-learn.org/stable/auto_examples/svm/plot_linearsvc_support_vectors.html -
LassoCV — scikit-learn 1.7.1 documentation
is: ( 1 / ( 2 * n_samples )) * || y - Xw ||^ 2_2 + alpha * ||...sklearn.linear_model. LassoCV ( * , eps = 0.001 , n_alphas = 'deprecated' , alphas...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoCV.html -
ElasticNet — scikit-learn 1.7.1 documentation
linear_model. ElasticNet ( alpha = 1.0 , * , l1_ratio = 0.5 , fit_intercept...n_samples ) * || y - Xw ||^ 2_2 + alpha * l1_ratio * || w || _1 + 0.5...scikit-learn.org/stable/modules/generated/sklearn.linear_model.ElasticNet.html