Search Options

Results per page
Sort
Preferred Languages
Labels
Advance

Results 1081 - 1090 of 2,632 for 2 (0.07 sec)

  1. Plot multi-class SGD on the iris dataset — scik...

    : 2 ] y = iris . target colors = "bry"...
    scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_iris.html
    Fri Sep 20 10:21:47 UTC 2024
      90.9K bytes
      Cache
     
  2. Permutation Importance vs Random Forest Feature...

    n_jobs = 2 ) sorted_importances_idx = result...random_state = 42 , n_jobs = 2 ) sorted_importances_idx = result...
    scikit-learn.org/stable/auto_examples/inspection/plot_permutation_importance.html
    Fri Sep 20 10:21:50 UTC 2024
      153.5K bytes
      Cache
     
  3. 6.9. Transforming the prediction target (y) — s...

    array([2, 2, 1]) >>> list ( le . inverse_transform ([ 2 , 2 , 1...y = [[ 2 , 3 , 4 ], [ 2 ], [ 0 , 1 , 3 ], [ 0 , 1 , 2 , 3 , 4...
    scikit-learn.org/stable/modules/preprocessing_targets.html
    Fri Sep 20 10:21:48 UTC 2024
      43K bytes
      Cache
     
  4. Hashing feature transformation using Totally Ra...

    TruncatedSVD ( n_components = 2 ) X_reduced = svd . fit_transform...
    scikit-learn.org/stable/auto_examples/ensemble/plot_random_forest_embedding.html
    Fri Sep 20 10:21:47 UTC 2024
      98.1K bytes
      Cache
     
  5. Gaussian process classification (GPC) on iris d...

    : 2 ] # we only take the first two...m_max]x[y_min, y_max]. plt . subplot ( 1 , 2 , i + 1 ) Z = clf . predict_proba...
    scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc_iris.html
    Fri Sep 20 10:21:47 UTC 2024
      94.4K bytes
      Cache
     
  6. Comparing random forests and the multi-output m...

    random_state = 2 ) regr_rf . fit ( X_train , y_train..."target 1" ) plt . ylabel ( "target 2" ) plt . title ( "Comparing random...
    scikit-learn.org/stable/auto_examples/ensemble/plot_random_forest_regression_multioutput.html
    Fri Sep 20 10:21:47 UTC 2024
      94.2K bytes
      Cache
     
  7. Compressive sensing: tomography reconstruction ...

    l / 2.0 ) ** 2 + ( y - l / 2.0 ) ** 2 < ( l / 2.0 ) ** 2 mask...np . float64 ) center = l_x / 2.0 X += 0.5 - center Y += 0.5 -...
    scikit-learn.org/stable/auto_examples/applications/plot_tomography_l1_reconstruction.html
    Fri Sep 20 10:21:47 UTC 2024
      108.6K bytes
      Cache
     
  8. make_column_selector — scikit-learn 1.5.2 docum...

    Gallery examples: Categorical Feature Support in Gradient Boosting Combine predictors using stacking Evaluation of outlier detection estimators Column Transformer with Mixed Types
    scikit-learn.org/stable/modules/generated/sklearn.compose.make_column_selector.html
    Thu Sep 19 14:56:27 UTC 2024
      116.7K bytes
      Cache
     
  9. clear_data_home — scikit-learn 1.5.2 documentation

    Skip to main content Back to top Ctrl + K GitHub clear_data_home # sklearn.datasets. clear_data_home ( data_home = No...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.clear_data_home.html
    Thu Sep 19 14:56:27 UTC 2024
      104.4K bytes
      Cache
     
  10. calinski_harabasz_score — scikit-learn 1.5.2 do...

    Skip to main content Back to top Ctrl + K GitHub calinski_harabasz_score # sklearn.metrics. calinski_harabasz_score (...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.calinski_harabasz_score.html
    Fri Sep 20 10:21:50 UTC 2024
      106.9K bytes
      Cache
     
Back to top