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plot_hgbt_regression.rst.txt
py: ========== Features in Histogram Gradient...Gradient Boosting Trees ========== :ref:`histogram_based_gradient_boosting`...scikit-learn.org/stable/_sources/auto_examples/ensemble/plot_hgbt_regression.rst.txt -
Map data to a normal distribution — scikit-lear...
QuantileTransformer N_SAMPLES = 1000 FONT_SIZE = 6 BINS = 30 rng = np . random...distribution df = 3 X_chisq = rng . chisquare ( df = df , size = size )...scikit-learn.org/stable/auto_examples/preprocessing/plot_map_data_to_normal.html -
Multi-dimensional scaling — scikit-learn 1.7.0 ...
random_state = 42 , n_jobs = 1 , n_init = 1 , ) X_nmds = nmds . fit_transform...[:, 1 ], color = "navy" , s = s , lw = 0 , label = "True Position"...scikit-learn.org/stable/auto_examples/manifold/plot_mds.html -
Features in Histogram Gradient Boosting Trees —...
electricity = fetch_openml ( name = "electricity" , version = 1 , as_frame...as_frame = True , parser = "pandas" ) df = electricity . frame...scikit-learn.org/stable/auto_examples/ensemble/plot_hgbt_regression.html -
plot_discretization_strategies.zip
py """ ========== Demonstrating the different...strategies of KBinsDiscretizer ========== This example presents the...scikit-learn.org/stable/_downloads/7b16734166ab4280e940d7fb89dd6113/plot_discretization_strategie... -
Classifier comparison — scikit-learn 1.7.0 docu...
C = 0.025 , random_state = 42 ), SVC ( gamma = 2 , C = 1 ,...clf , X , cmap = cm , alpha = 0.8 , ax = ax , eps = 0.5 ) # Plot...scikit-learn.org/stable/auto_examples/classification/plot_classifier_comparison.html -
grid_search_workflow.png
encoding=ISO-8859-1, compression=none keyword=Software, value=www.inkscape.org...0.08468835 width=2031, height=1362, bitDepth=8, colorType=RGBAlpha,...scikit-learn.org/stable/_images/grid_search_workflow.png -
Crafting a minimal reproducer for scikit-learn ...
n_samples = 100 n_components = 3 X, y = make_blobs(n_samples=n_samples,...random_state = 42 ) scaler = StandardScaler ( with_mean = False )...scikit-learn.org/stable/developers/minimal_reproducer.html -
GMM covariances — scikit-learn 1.7.0 documentation
bottom = 0.01 , top = 0.95 , hspace = 0.15 , wspace = 0.05 ,...scatterpoints = 1 , loc = "lower right" , prop = dict ( size = 12 ))...scikit-learn.org/stable/auto_examples/mixture/plot_gmm_covariances.html -
GMM Initialization Methods — scikit-learn 1.7.0...
( bottom = 0.1 , top = 0.9 , hspace = 0.15 , wspace = 0.05 , left...n_components = 4 , means_init = ini , tol = 1e-9 , max_iter = 2000 ,...scikit-learn.org/stable/auto_examples/mixture/plot_gmm_init.html
