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PredefinedSplit — scikit-learn 1.5.2 documentation
Train: index=[1 2 3] Test: index=[0] Fold 1: Train: index=[0 2] Test:...get_n_splits ( X = None , y = None , groups = None ) [source]...scikit-learn.org/stable/modules/generated/sklearn.model_selection.PredefinedSplit.html -
GaussianProcessClassifier — scikit-learn 1.5.2 ...
n_restarts_optimizer = 0 , max_iter_predict = 100 , warm_start = False , copy_X_train...copy_X_train = True , random_state = None , multi_class = 'one_vs_rest'...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.GaussianProcessClassifier.html -
'I Hate Gay Halloween': Enjoy The Best, Most Ni...
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/internet-culture/link/gay-halloween-best-costumes-twitter-photos -
The Clever And Cringey Halloween Costumes Takin...
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/internet-culture/link/tiktok-halloween-costumes-video -
styles-v1.css
;charset=utf-8,%3Csvg width='16' height='16' xmlns='http://www.w3.org/2000/svg'...vg width="10" height="10" viewBox="0 0 16 16" xmlns="http://...www.elastic.co/guide/static/styles-v1.css -
QuantileTransformer — scikit-learn 1.5.2 docume...
( loc = 0.5 , scale = 0.25 , size = ( 25 , 1 )), axis = 0 ) >>>...ignore_implicit_zeros = False , subsample = 10000 , random_state = None , copy...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.QuantileTransformer.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 -
Nearest Neighbors regression — scikit-learn 1.5...
neighbors rng = np . random . RandomState ( 0 ) X_train = np . sort.... rand ( 40 , 1 ), axis = 0 ) X_test = np . linspace ( 0 , 5 ,...scikit-learn.org/stable/auto_examples/neighbors/plot_regression.html -
make_low_rank_matrix — scikit-learn 1.5.2 docum...
n_samples = 100 , n_features = 100 , * , effective_rank = 10 , tail_strength...n_features = 25 , ... effective_rank = 5 , ... tail_strength = 0.01...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_low_rank_matrix.html