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Comparing random forests and the multi-output m...
random_state = 2 ) regr_rf . fit ( X_train , y_train..."target 1" ) plt . ylabel ( "target 2" ) plt . title ( "Comparing random...scikit-learn.org/stable/auto_examples/ensemble/plot_random_forest_regression_multioutput.html -
7.8. Pairwise metrics, Affinities and Kernels —...
for all a and b 2. d ( a , b ) == 0 , if and only...pairwise_kernels >>> X = np . array ([[ 2 , 3 ], [ 3 , 5 ], [ 5 , 8 ]])...scikit-learn.org/stable/modules/metrics.html -
Hashing feature transformation using Totally Ra...
TruncatedSVD ( n_components = 2 ) X_reduced = svd . fit_transform...scikit-learn.org/stable/auto_examples/ensemble/plot_random_forest_embedding.html -
Version 0.16 — scikit-learn 1.7.2 documentation
approximated rbf_kernel with gamma=g/2. ; the definition of gamma is...scikit-learn.org/stable/whats_new/v0.16.html -
Selecting the number of clusters with silhouett...
and 2 columns fig , ( ax1 , ax2 ) = plt . subplots ( 1 , 2 ) fig...ambivalent in deciding between 2 and 4. Also from the thickness...scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_silhouette_analysis.html -
The Johnson-Lindenstrauss bound for embedding w...
\|u - v\|^2 < \|p(u) - p(v)\|^2 < (1 + eps) \|u - v\|^2\] Where...\geq 4 log(n\_samples) / (eps^2 / 2 - eps^3 / 3)\] The first plot...scikit-learn.org/stable/auto_examples/miscellaneous/plot_johnson_lindenstrauss_bound.html -
Class Likelihood Ratios to measure classificati...
"n_features" : 2 , "n_informative" : 2 , "n_redundant" : 0...subplots ( nrows = 3 , ncols = 2 , figsize = ( 15 , 12 )) for ax...scikit-learn.org/stable/auto_examples/model_selection/plot_likelihood_ratios.html -
Target Encoder’s Internal Cross fitting — sciki...
The TargetEncoder replaces each category of a categorical feature with the shrunk mean of the target variable for that category. This method is useful in cases where there is a strong relationship ...scikit-learn.org/stable/auto_examples/preprocessing/plot_target_encoder_cross_val.html -
SVM: Maximum margin separating hyperplane — sci...
centers = 2 , random_state = 6 ) # fit the...scikit-learn.org/stable/auto_examples/svm/plot_separating_hyperplane.html -
1.3. Kernel ridge regression — scikit-learn 1.7...
(linear least squares with \(L_2\) -norm regularization) with the...loss, both combined with \(L_2\) regularization. In contrast...scikit-learn.org/stable/modules/kernel_ridge.html