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Pipelining: chaining a PCA and a logistic regre...
n_jobs = 2 ) search . fit ( X_digits , y_digits...) = plt . subplots ( nrows = 2 , sharex = True , figsize = (...scikit-learn.org/stable/auto_examples/compose/plot_digits_pipe.html -
Image denoising using kernel PCA — scikit...
(( X_test - X_test_noisy ) ** 2 ) : .2f } " ) Learn the PCA...X_test - X_reconstructed_pca ) ** 2 ) : .2f } " , ) plot_digits...scikit-learn.org/stable/auto_examples/applications/plot_digits_denoising.html -
Crafting a minimal reproducer for scikit-learn ...
n_features = 2 , n_redundant = 0 , n_informative = 2 , n_clusters_per_class...n_features ) y = rng . randint ( 0 , 2 , n_samples ) # binary target...scikit-learn.org/stable/developers/minimal_reproducer.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 -
3.5. Validation curves: plotting scores to eval...
function \(f(x) = \cos (\frac{3}{2} \pi x)\) and some noisy samples...is usually not possible. 3.5.2. Learning curve # A learning curve...scikit-learn.org/stable/modules/learning_curve.html -
Glossary of Common Terms and API Elements ̵...
2], 2 is the positive class; of [‘no’,...array whose .shape has length 2. Often represents a matrix. API...scikit-learn.org/stable/glossary.html -
Label Propagation circles: Learning a complex s...
title ( "Raw data (2 classes=outer and inner)"...scikit-learn.org/stable/auto_examples/semi_supervised/plot_label_propagation_structure.html -
Outlier detection on a real data set — sc...
2 ]] # two clusters fig , ax = plt..."outlying points" , xy = ( 4 , 2 ), xycoords = "data"...scikit-learn.org/stable/auto_examples/applications/plot_outlier_detection_wine.html -
Multilabel classification using a classifier ch...
2 , random_state = 0 ) Fit models..."Chain 1" , "Chain 2" , "Chain 3" ,...scikit-learn.org/stable/auto_examples/multioutput/plot_classifier_chain_yeast.html -
Concentration Prior Type Analysis of Variation ...
normalization eig_vals = 2 * np . sqrt ( 2 ) * np . sqrt ( eig_vals...= 0.8 ) ax1 . set_xlim ( - 2.0 , 2.0 ) ax1 . set_ylim ( - 3.0...scikit-learn.org/stable/auto_examples/mixture/plot_concentration_prior.html