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Univariate Feature Selection — scikit-learn 1.7...
RandomState ( 42 ) . uniform ( 0 , 0.1 , size = ( X . shape [ 0 ], 20...clf () plt . bar ( X_indices - 0.05 , scores , width = 0.2 ) plt...scikit-learn.org/stable/auto_examples/feature_selection/plot_feature_selection.html -
Recognizing hand-written digits — scikit-learn ...
88 1 0.99 0.97 0.98 91 2 0.99 0.99 0.99 86 3 0.98 0.87 0.92 91...91 4 0.99 0.96 0.97 92 5 0.95 0.97 0.96 91 6 0.99 0.99 0.99 91...scikit-learn.org/stable/auto_examples/classification/plot_digits_classification.html -
Demonstration of k-means assumptions — scikit-l...
transformation = [[ 0.60834549 , - 0.63667341 ], [ - 0.40887718 , 0.85253229...scatter ( X [:, 0 ], X [:, 1 ], c = y ) axs [ 0 , 0 ] . set_title...scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_assumptions.html -
Probability calibration of classifiers — scikit...
. linspace ( 0.0 , 1.0 , y_unique . size )) for this_y , color...this # blob is therefore 0.5. centers = [( - 5 , - 5 ), ( 0 , 0...scikit-learn.org/stable/auto_examples/calibration/plot_calibration.html -
Inductive Clustering — scikit-learn 1.7.2 docum...
= [ 1.0 , 1.0 , 0.5 ], centers = [( - 5 , - 5 ), ( 0 , 0 ), (..., - 1 ), ( - 2 , 4 ), ( 3 , 6 )], random_state = RANDOM_STATE...scikit-learn.org/stable/auto_examples/cluster/plot_inductive_clustering.html -
A demo of structured Ward hierarchical clusteri...
n_clusters )), ], ) plt . axis ( "off" ) plt . show () Total running...= np . reshape ( rescaled_coins , ( - 1 , 1 )) Define structure...scikit-learn.org/stable/auto_examples/cluster/plot_coin_ward_segmentation.html -
12. Dispatching — scikit-learn 1.7.2 documentation
support (experimental) 12.1.1. Example usage 12.1.2. Support...Ctrl + K GitHub Choose version 12. Dispatching # 12.1. Array...scikit-learn.org/stable/dispatching.html -
Topic extraction with Non-negative Matrix Facto...
n_samples ] print ( "done in %0.3f s." % ( time () - t0 )) # Use tf-idf...bottom = 0.05 , wspace = 0.90 , hspace = 0.3 ) plt . show () # Load...scikit-learn.org/stable/auto_examples/applications/plot_topics_extraction_with_nmf_lda.html -
Hashing feature transformation using Totally Ra...
[:, 0 ] . min () - 0.5 , X [:, 0 ] . max () + 0.5 y_min , y_max...X [:, 1 ] . min () - 0.5 , X [:, 1 ] . max () + 0.5 xx , yy =...scikit-learn.org/stable/auto_examples/ensemble/plot_random_forest_embedding.html -
Gaussian Mixture Model Selection — scikit-learn...
seed ( 0 ) C = np . array ([[ 0.0 , - 0.1 ], [ 1.7 , 0.4 ]]) component_1...range ( 1 , 7 ), "covariance_type" : [ "spherical" , "tied" , "diag"...scikit-learn.org/stable/auto_examples/mixture/plot_gmm_selection.html