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Image denoising using kernel PCA — scikit-learn...
(( X_test - X_test_noisy ) ** 2 ) : .2f } " ) Learn the PCA basis...X_test - X_reconstructed_pca ) ** 2 ) : .2f } " , ) plot_digits (...scikit-learn.org/stable/auto_examples/applications/plot_digits_denoising.html -
Multilabel classification using a classifier ch...
yeast dataset which contains 2,417 datapoints each with 103 features...train_test_split ( X , Y , test_size = 0.2 , random_state = 0 ) Fit models...scikit-learn.org/stable/auto_examples/multioutput/plot_classifier_chain_yeast.html -
Manifold learning on handwritten digits: Locall...
n_components = 2 , n_init = 1 , max_iter = 120 , n_jobs = 2 ), "Random...digit ), alpha = 0.425 , zorder = 2 , ) shown_images = np . array...scikit-learn.org/stable/auto_examples/manifold/plot_lle_digits.html -
L1 Penalty and Sparsity in Logistic Regression ...
%s " % l1_ratio ) axes_row [ 2 ] . set_title ( "L2 penalty" )...scikit-learn.org/stable/auto_examples/linear_model/plot_logistic_l1_l2_sparsity.html -
Semi-supervised Classification on a Text Datase...
End of iteration 2, added 222 new labels. End of...= dict ( ngram_range = ( 1 , 2 ), min_df = 5 , max_df = 0.8 )...scikit-learn.org/stable/auto_examples/semi_supervised/plot_semi_supervised_newsgroups.html -
Regularization path of L1- Logistic Regression ...
= 2 ] y = y [ y != 2 ] X /= X . max () # Normalize...scikit-learn.org/stable/auto_examples/linear_model/plot_logistic_path.html -
Early stopping of Stochastic Gradient Descent —...
2 ), } # Load the dataset X , y...subplots ( nrows = 1 , ncols = 2 , sharey = True , figsize = (...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_early_stopping.html -
One-class SVM with non-linear kernel (RBF) — sc...
2 ) X_train = np . r_ [ X + 2 , X - 2 ] # Generate...randn ( 20 , 2 ) X_test = np . r_ [ X + 2 , X - 2 ] # Generate...scikit-learn.org/stable/auto_examples/svm/plot_oneclass.html -
A demo of the Spectral Co-Clustering algorithm ...
This example demonstrates how to generate a dataset and bicluster it using the Spectral Co-Clustering algorithm. The dataset is generated using the make_biclusters function, which creates a matrix ...scikit-learn.org/stable/auto_examples/bicluster/plot_spectral_coclustering.html -
Related Projects — scikit-learn 1.5.2 documenta...
Projects implementing the scikit-learn estimator API are encouraged to use the scikit-learn-contrib template which facilitates best practices for testing and documenting estimators. The scikit-lear...scikit-learn.org/stable/related_projects.html