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Scaling the regularization parameter for SVCs —...
param_range = Cs , cv = cv , n_jobs = 2 , ) results [ label ] = test_scores...axes = plt . subplots ( nrows = 1 , ncols = 2 , sharey = True...scikit-learn.org/stable/auto_examples/svm/plot_svm_scale_c.html -
check_cv — scikit-learn 1.7.2 documentation
check_cv ( cv = 5 , y = None , * , classifier = False ) [source]...>>> check_cv ( cv = 5 , y = None , classifier = False ) KFold(...)...scikit-learn.org/stable/modules/generated/sklearn.model_selection.check_cv.html -
Custom refit strategy of a grid search with cro...
- 1 )) y = digits . target == 8 print ( f "The number...n_pixels) . n_samples = len ( digits . images ) X = digits . images...scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_digits.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 -
make_circles — scikit-learn 1.7.2 documentation
( n_samples = 100 , * , shuffle = True , noise = None , random_state...random_state = None , factor = 0.8 ) [source] # Make a large circle...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_circles.html -
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 -
roc_curve — scikit-learn 1.7.2 documentation
pos_label = None , sample_weight = None , drop_intermediate = True...default=None The label of the positive class. When pos_label=None...scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_curve.html -
Multi-dimensional scaling — scikit-learn 1.7.2 ...
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 -
MultiLabelBinarizer — scikit-learn 1.7.2 docume...
j] == 1 . set_output ( * , transform = None ) [source]...MultiLabelBinarizer ( * , classes = None , sparse_output = False ) [source] #...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MultiLabelBinarizer.html -
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