Search Options

Display Count
Sort
Preferred Language
Label
Advanced Search

Results 1441 - 1450 of over 10,000 for 1 (0.77 seconds)

Filter
  1. Outlier detection on a real data set — scikit-l...

    EllipticEnvelope ( support_fraction = 1.0 , contamination = 0.25 ), "Robust...= load_wine ()[ "data" ][:, [ 1 , 2 ]] # two clusters fig , ax...
    scikit-learn.org/stable/auto_examples/applications/plot_outlier_detection_wine.html
    Tue Mar 17 03:44:38 UTC 2026
      17.2K bytes
      Cache
     
  2. Gaussian process classification (GPC) on iris d...

    y ) kernel = 1.0 * RBF ([ 1.0 , 1.0 ]) gpc_rbf_anisotropic...() - 1 , X [:, 0 ] . max () + 1 y_min , y_max = X [:, 1 ] . min...
    scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc_iris.html
    Tue Mar 17 03:44:36 UTC 2026
      16.2K bytes
      Cache
     
  3. Explicit feature map approximation for RBF kern...

    reshape ( - 1 , data . shape [ 1 ]) # title for the plots...y_max]. plt . subplot ( 1 , 3 , i + 1 ) Z = clf . predict ( flat_grid...
    scikit-learn.org/stable/auto_examples/miscellaneous/plot_kernel_approximation.html
    Tue Mar 17 03:44:39 UTC 2026
      19K bytes
      Cache
     
  4. Lasso on dense and sparse data — scikit-learn 1...

    coo_matrix ( X ) alpha = 1 sparse_lasso = Lasso ( alpha =...100 ) : .3f } %" ) alpha = 0.1 sparse_lasso = Lasso ( alpha =...
    scikit-learn.org/stable/auto_examples/linear_model/plot_lasso_dense_vs_sparse_data.html
    Tue Mar 17 03:44:38 UTC 2026
      16.1K bytes
      Cache
     
  5. 2.7. Novelty and Outlier Detection — scikit-lea...

    array ([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [...Inliers are labeled 1, while outliers are labeled -1. The predict method...
    scikit-learn.org/stable/modules/outlier_detection.html
    Tue Mar 17 03:44:39 UTC 2026
      14.1K bytes
      Cache
     
  6. Common pitfalls in the interpretation of coeffi...

    1.e-03, 1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04,...1.e-04, 1.e-03, 1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04,...
    scikit-learn.org/stable/auto_examples/inspection/plot_linear_model_coefficient_interpretation.html
    Tue Mar 17 03:44:38 UTC 2026
      72.7K bytes
      Cache
     
  7. 3. Model selection and evaluation — scikit-lear...

    1.1. Computing cross-validated metrics 3.1.2. Cross...validation iterators 3.1.3. A note on shuffling 3.1.4. Cross validation...
    scikit-learn.org/stable/model_selection.html
    Tue Mar 17 03:44:39 UTC 2026
      6.8K bytes
      Cache
     
  8. Lasso model selection via information criteria ...

    lasso_lars_ic [ - 1 ] . criterion_ , n_samples , lasso_lars_ic [ - 1 ] . noise_variance_...lasso_lars_ic [ - 1 ] . alphas_ == lasso_lars_ic [ - 1 ] . alpha_ )[...
    scikit-learn.org/stable/auto_examples/linear_model/plot_lasso_lars_ic.html
    Tue Mar 17 03:44:36 UTC 2026
      17.2K bytes
      Cache
     
  9. Support Vector Regression (SVR) using linear an...

    1.1 ), ncol = 1 , fancybox = True , shadow..., C = 100 , gamma = 0.1 , epsilon = 0.1 ) svr_lin = SVR ( kernel...
    scikit-learn.org/stable/auto_examples/svm/plot_svm_regression.html
    Tue Mar 17 03:44:36 UTC 2026
      16.1K bytes
      Cache
     
  10. Release Highlights for scikit-learn 0.23 — scik...

    versionadded:: 1.0 .. versionchanged:: 1.6 `verbose_feature_names_out`..... versionadded:: 1.5 .. versionchanged:: 1.7 The default value...
    scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_0_23_0.html
    Tue Mar 17 03:44:38 UTC 2026
      34.6K bytes
      Cache
     
Back to Top