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KFold — scikit-learn 1.5.2 documentation
n_splits = 5 , * , shuffle = False , random_state = None ) [source]...KFold(n_splits=2, random_state=None, shuffle=False) >>> for i...scikit-learn.org/stable/modules/generated/sklearn.model_selection.KFold.html -
CategoricalNB — scikit-learn 1.5.2 documentation
alpha = 1.0 , force_alpha = True , fit_prior = True , class_prior...class_prior = None , min_categories = None ) [source] # Naive Bayes...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.CategoricalNB.html -
IsotonicRegression — scikit-learn 1.5.2 documen...
y_min = None , y_max = None , increasing = True , out_of_bounds...X , y = make_regression ( n_samples = 10 , n_features = 1 , random_state...scikit-learn.org/stable/modules/generated/sklearn.isotonic.IsotonicRegression.html -
What are fancy hotels selling? | Digg
fill="none" viewBox="0 0 24 24" stroke-width="1.5" stroke="currentColor">...fill="none" viewBox="0 0 24 24" stroke-width="1.5" stroke="currentColor">...digg.com/residualthoughts/link/what-are-fancy-hotels-selling -
Watch Ryan Girdusky Make Racist Comments On CNN...
fill="none" viewBox="0 0 24 24" stroke-width="1.5" stroke="currentColor">...fill="none" viewBox="0 0 24 24" stroke-width="1.5" stroke="currentColor">...digg.com/digg-vids/link/cnn-mehdi-hasan-girdusky-pagers-video -
Isotonic Regression — scikit-learn 1.5.2 docume...
check_random_state n = 100 x = np . arange ( n ) rs = check_random_state...models: ir = IsotonicRegression ( out_of_bounds = "clip" ) y_ = ir ....scikit-learn.org/stable/auto_examples/miscellaneous/plot_isotonic_regression.html -
Jeff Bezos Blocking WaPo's Presidential Endorse...
fill="none" viewBox="0 0 24 24" stroke-width="1.5" stroke="currentColor">...fill="none" viewBox="0 0 24 24" stroke-width="1.5" stroke="currentColor">...digg.com/one-main-character/link/one-main-character-twitter-wapo-jeff-bezos-human-trafficking-cos... -
Matern — scikit-learn 1.5.2 documentation
length_scale = 1.0 , length_scale_bounds = (1e-05, 100000.0) , nu = 1.5...>>> X , y = load_iris ( return_X_y = True ) >>> kernel = 1.0 * Matern...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Matern.html -
Detection error tradeoff (DET) curve — scikit-l...
n_features = 2 , n_redundant = 0 , n_informative = 2 , random_state...max_depth = 5 , n_estimators = 10 , max_features = 1 ), } Plot...scikit-learn.org/stable/auto_examples/model_selection/plot_det.html -
make_sparse_spd_matrix — scikit-learn 1.5.2 doc...
x ( n_dim = None , * , alpha = 0.95 , norm_diag = False , smallest_coef...smallest_coef = 0.1 , largest_coef = 0.9 , sparse_format = None , random_state...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_sparse_spd_matrix.html