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FastICA on 2D point clouds — scikit-learn 1.8.0...
array ([[ 1 , 1 ], [ 0 , 2 ]]) # Mixing matrix...( 42 ) S = rng . standard_t ( 1.5 , size = ( 20000 , 2 )) S [:,...scikit-learn.org/stable/auto_examples/decomposition/plot_ica_vs_pca.html -
sklearn.datasets — scikit-learn 1.8.0 documenta...
make_friedman1 Generate the "Friedman #1" regression problem. make_friedman2...scikit-learn.org/stable/api/sklearn.datasets.html -
Polynomial and Spline interpolation — scikit-le...
n_samples rows and degree + 1 columns: [[ 1 , x_0 , x_0 ** 2 , x_0...( X_plot )) axes [ 1 ] . legend ( axes [ 1 ] . lines , [ f "spline...scikit-learn.org/stable/auto_examples/linear_model/plot_polynomial_interpolation.html -
Testimonials — scikit-learn 1.8.0 documentation
Group # Scikit-learn is our #1 toolkit for all things machine...used for originating at least 1 billion GBP worth of Zopa loans....scikit-learn.org/stable/testimonials/testimonials.html -
Species distribution modeling — scikit-learn 1....
subplot ( 1 , 2 , i + 1 ) if basemap : print ( "...Returns ------- (xgrid, ygrid) : 1-D arrays The grid corresponding...scikit-learn.org/stable/auto_examples/applications/plot_species_distribution_modeling.html -
Kernel Density Estimation — scikit-learn 1.8.0 ...
logspace ( - 1 , 1 , 20 )} grid = GridSearchCV...new_data . reshape (( 4 , 11 , - 1 )) real_data = digits . data [:...scikit-learn.org/stable/auto_examples/neighbors/plot_digits_kde_sampling.html -
Gradient Boosting regression — scikit-learn 1.8...
subplot ( 1 , 1 , 1 ) plt . title ( "Deviance"...12 , 6 )) plt . subplot ( 1 , 2 , 1 ) plt . barh ( pos , feature_importance...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_regression.html -
2.4. Biclustering — scikit-learn 1.8.0 document...
array ([ 1 , 2 ]) >>> data [ rows , columns ] array([[ 1, 2], [21,...to find heavy subgraphs. 2.4.1.1. Mathematical formulation # An...scikit-learn.org/stable/modules/biclustering.html -
8.3. Generated datasets — scikit-learn 1.8.0 do...
1.1. Single label # make_blobs creates..."n_informative" : 1 , "n_clusters_per_class" : 1 , "n_classes" :...scikit-learn.org/stable/datasets/sample_generators.html -
Hierarchical clustering with and without struct...
) t = 1.5 * np . pi * ( 1 + 3 * np . random . rand ( 1 , n_samples...n_samples , noise = noise ) X1 [:, 1 ] *= 0.5 # Make the roll thinner...scikit-learn.org/stable/auto_examples/cluster/plot_ward_structured_vs_unstructured.html