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Version 0.14 — scikit-learn 1.8.0 documentation
Harikrishnan S 1 Jack Hale 1 JakeMick 1 James McDermott 1 John Benediktsson...Benediktsson 1 John Zwinck 1 Joshua Vredevoogd 1 Justin Pati 1 Kevin...scikit-learn.org/stable/whats_new/v0.14.html -
Multi-dimensional scaling — scikit-learn 1.8.0 ...
figure ( 1 ) ax = plt . axes ([ 0.0 , 0.0 , 1.0 , 1.0 ]) s =...random_state = 42 , n_jobs = 1 , n_init = 1 , init = "classical_mds"...scikit-learn.org/stable/auto_examples/manifold/plot_mds.html -
6. Visualizations — scikit-learn 1.8.0 document...
1. Available Plotting Utilities # 6.1.1. Display Objects...the score (i.e. multiply by -1) if pos_label is not the last...scikit-learn.org/stable/visualizations.html -
Wikipedia principal eigenvector — scikit-learn ...
1 )[ 1 ] page_links_url = "http:/...page_links_url . rsplit ( "/" , 1 )[ 1 ] resources = [ ( redirects_url...scikit-learn.org/stable/auto_examples/applications/wikipedia_principal_eigenvector.html -
BernoulliNB — scikit-learn 1.8.0 document...
Added in version 1.2. Changed in version 1.4: The default value...sklearn.naive_bayes. BernoulliNB ( * , alpha = 1.0 , force_alpha = True , binarize...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.BernoulliNB.html -
Normal, Ledoit-Wolf and OAS Linear Discriminant...
n_features_range = range ( 1 , n_features_max + 1 , step ) for n_features...n_samples = n_samples , n_features = 1 , centers = [[ - 2 ], [ 2 ]])...scikit-learn.org/stable/auto_examples/classification/plot_lda.html -
Probability Calibration curves — scikit-learn 1...
1 ), ( 3 , 0 ), ( 3 , 1 )] for i , ( _ , name...calibrated_df , 0 , 1 ) proba_neg_class = 1 - proba_pos_class proba...scikit-learn.org/stable/auto_examples/calibration/plot_calibration_curve.html -
SelectFdr — scikit-learn 1.8.0 documentation
Added in version 1.0. See also f_classif ANOVA F-value..."x1", ..., "x(n_features_in_ - 1)"] . If input_features is an array-like,...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectFdr.html -
load_iris — scikit-learn 1.8.0 documentation
scikit-learn 1.2 Release Highlights for scikit-learn 1.2 Decision...target [ samples ] array([0, 0, 1]) >>> data . target_names [ data...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_iris.html -
7.5. Unsupervised dimensionality reduction — sc...
1. PCA: principal component analysis...scikit-learn.org/stable/modules/unsupervised_reduction.html