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Gaussian processes on discrete data structures ...
array ([ 1.0 , 1.0 , 2.0 , 2.0 , 3.0 , 3.0 ])...( len ( X_train )), [ 1.0 if c else - 1.0 for c in Y_train ],...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpr_on_structured_data.html -
Logistic function — scikit-learn 1.7.2 do...
1 ]) plt . ylim ( - 0.25 , 1.25 ) plt . xlim...classify values as either 0 or 1, i.e. class one or two, using...scikit-learn.org/stable/auto_examples/linear_model/plot_logistic.html -
Principal Component Regression vs Partial Least...
axes [ 1 ] . scatter ( X . dot ( pca . components_ [ 1 ]), y ,.... scatter ( X [:, 0 ], X [:, 1 ], alpha = 0.3 , label = "samples"...scikit-learn.org/stable/auto_examples/cross_decomposition/plot_pcr_vs_pls.html -
Out-of-core classification of text documents &#...
()[ 1 ], rotation = 30 ) ymax = max ( cls_runtime ) * 1.2 ax...self , encoding = "latin-1" ): HTMLParser . __init__...scikit-learn.org/stable/auto_examples/applications/plot_out_of_core_classification.html -
Various Agglomerative Clustering on a 2D embedd...
1 , 0.95 ]) # ---------- # 2D embedding...time of the script: (0 minutes 1.491 seconds) Download Jupyter...scikit-learn.org/stable/auto_examples/cluster/plot_digits_linkage.html -
Detection error tradeoff (DET) curve — sc...
random_state = 1 , n_clusters_per_class = 1 , ) X_train , X_test...n_estimators = 10 , max_features = 1 , random_state = 0 ), "Non-informative...scikit-learn.org/stable/auto_examples/model_selection/plot_det.html -
L1-based models for Sparse Signals — scik...
1 , n_samples ) y += 0.2 * rng . normal ( 0 , 1 , n_samples...linthresh = 10e-4 , vmin =- 1 , vmax = 1 ), cbar_kws = { "label"...scikit-learn.org/stable/auto_examples/linear_model/plot_lasso_and_elasticnet.html -
Kernel Density Estimate of Species Distribution...
subplot ( 1 , 2 , i + 1 ) # construct a kernel density...by Phillips et. al. (2006) [ 1 ] . If available, the example...scikit-learn.org/stable/auto_examples/neighbors/plot_species_kde.html -
SelectFdr — scikit-learn 1.8.0 documentation
Added in version 1.0. See also f_classif ANOVA F-value......, "x(n_features_in_ - 1)"] . If input_features is...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectFdr.html -
SelectFwe — scikit-learn 1.8.0 documentation
Added in version 1.0. See also f_classif ANOVA F-value......, "x(n_features_in_ - 1)"] . If input_features is...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectFwe.html