Search Options

Results per page
Sort
Preferred Languages
Labels
Advance

Results 281 - 300 of 837 for test (0.11 sec)

  1. sklearn.calibration.CalibrationDisplay — scikit...

    X_test , y_train , y_test = train_test_split ( ......X_train , X_test , y_train , y_test = train_test_split ( ......
    scikit-learn.org/stable/modules/generated/sklearn.calibration.CalibrationDisplay.html
    Mon Apr 15 14:09:28 UTC 2024
      50.6K bytes
      Cache
     
  2. Comparing various online solvers — scikit-learn...

    X_test , y_train , y_test = train_test_split ( X ,...( X_test ) yy_ . append ( 1 - np . mean ( y_pred == y_test ))...
    scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_comparison.html
    Mon Apr 15 14:09:27 UTC 2024
      33K bytes
      Cache
     
  3. sklearn.metrics.PrecisionRecallDisplay — scikit...

    X_test , y_train , y_test = train_test_split ( X ,...X_train , X_test , y_train , y_test = train_test_split ( ......
    scikit-learn.org/stable/modules/generated/sklearn.metrics.PrecisionRecallDisplay.html
    Mon Apr 15 14:09:27 UTC 2024
      59K bytes
      Cache
     
  4. Importance of Feature Scaling — scikit-learn 1....

    X_test , y_train , y_test = train_test_split ( X ,...( X_test ) y_pred_scaled = scaled_clf . predict ( X_test ) y_proba...
    scikit-learn.org/stable/auto_examples/preprocessing/plot_scaling_importance.html
    Mon Apr 15 14:09:29 UTC 2024
      59K bytes
      Cache
     
  5. Feature transformations with ensembles of trees...

    X_test , y_full_train , y_test = train_test_split ( X...train_test_split ( X_full_train , y_full_train , test_size =...
    scikit-learn.org/stable/auto_examples/ensemble/plot_feature_transformation.html
    Mon Apr 15 14:09:27 UTC 2024
      88.7K bytes
      Cache
     
  6. Detection error tradeoff (DET) curve — scikit-l...

    X_test , y_train , y_test = train_test_split ( X ,...from_estimator ( clf , X_test , y_test , ax = ax_roc , name = name...
    scikit-learn.org/stable/auto_examples/model_selection/plot_det.html
    Mon Apr 15 14:09:27 UTC 2024
      33.6K bytes
      Cache
     
  7. Comparing Nearest Neighbors with and without Ne...

    X_test , y_train , y_test = train_test_split ( X ,...score = clf . score ( X_test , y_test ) _ , ax = plt . subplots...
    scikit-learn.org/stable/auto_examples/neighbors/plot_nca_classification.html
    Mon Apr 15 14:09:27 UTC 2024
      34.9K bytes
      Cache
     
  8. Installing scikit-learn — scikit-learn 1.4.2 do...

    2 tests pytest-cov 2.9.0 tests ruff 0.0.272 tests black 23.3.0...23.3.0 tests mypy 1.3 tests pyamg 4.0.0 tests polars 0.19.12...
    scikit-learn.org/stable/install.html
    Mon Apr 15 14:09:28 UTC 2024
      37.3K bytes
      Cache
     
  9. Effect of varying threshold for self-training —...

    train_index ] X_test = X [ test_index ] y_test = y [ test_index ] y_test_true...y_test_true = y_true [ test_index ] self_training_clf . fit (...
    scikit-learn.org/stable/auto_examples/semi_supervised/plot_self_training_varying_threshold.html
    Mon Apr 15 14:09:27 UTC 2024
      39.2K bytes
      Cache
     
  10. Nearest Neighbors Classification — scikit-learn...

    X_test , y_train , y_test = train_test_split ( X ,...split the data into a train and test dataset. from sklearn.datasets...
    scikit-learn.org/stable/auto_examples/neighbors/plot_classification.html
    Mon Apr 15 14:09:27 UTC 2024
      32.7K bytes
      Cache
     
  11. Curve Fitting with Bayesian Ridge Regression — ...

    increasing = True ) X_test = np . vander ( x_test , n_order + 1 , increasing...predict ( X_test , return_std = True ) ax . plot ( x_test , func (...
    scikit-learn.org/stable/auto_examples/linear_model/plot_bayesian_ridge_curvefit.html
    Mon Apr 15 14:09:28 UTC 2024
      35K bytes
      Cache
     
  12. Balance model complexity and cross-validated sc...

    deviation of the best `mean_test_score`. """ best_score_idx = np...][ best_score_idx ] - cv_results [ "std_test_score" ][ best_score_idx...
    scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_refit_callable.html
    Mon Apr 15 14:09:28 UTC 2024
      37K bytes
      Cache
     
  13. Decision Tree Regression — scikit-learn 1.4.2 d...

    predict ( X_test ) y_2 = regr_2 . predict ( X_test ) # Plot the.... fit ( X , y ) # Predict X_test = np . arange ( 0.0 , 5.0 ,...
    scikit-learn.org/stable/auto_examples/tree/plot_tree_regression.html
    Mon Apr 15 14:09:28 UTC 2024
      28.7K bytes
      Cache
     
  14. Robust linear estimator fitting — scikit-learn ...

    sin ( X_test ) X_test = X_test [:, np . newaxis ] y_errors...newaxis ] X_test = np . random . normal ( size = 200 ) y_test = np ....
    scikit-learn.org/stable/auto_examples/linear_model/plot_robust_fit.html
    Mon Apr 15 14:09:29 UTC 2024
      39.3K bytes
      Cache
     
  15. Single estimator versus bagging: bias-variance ...

    ( y ) X_test , y_test = generate ( n_samples = n_test , noise...training set n_test = 1000 # Size of the test set noise = 0.1...
    scikit-learn.org/stable/auto_examples/ensemble/plot_bias_variance.html
    Mon Apr 15 14:09:28 UTC 2024
      52.4K bytes
      Cache
     
  16. 1.13. Feature selection — scikit-learn 1.4.2 do...

    the best features based on univariate statistical tests. It can...we can use a F-test to retrieve the two best features for a dataset...
    scikit-learn.org/stable/modules/feature_selection.html
    Mon Apr 15 14:09:29 UTC 2024
      54.1K bytes
      Cache
     
  17. sklearn.linear_model.MultiTaskLasso — scikit-le...

    n_features) Test samples. For some estimators...y_true.mean()) ** 2).sum() . The best possible score is 1.0 and it...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskLasso.html
    Mon Apr 15 14:09:28 UTC 2024
      69.7K bytes
      Cache
     
  18. GMM covariances — scikit-learn 1.4.2 documentation

    train_index ] X_test = iris . data [ test_index ] y_test = iris . target...transAxes ) y_test_pred = estimator . predict ( X_test ) test_accuracy...
    scikit-learn.org/stable/auto_examples/mixture/plot_gmm_covariances.html
    Mon Apr 15 14:09:29 UTC 2024
      45.5K bytes
      Cache
     
  19. Gaussian processes on discrete data structures ...

    ) X_test = [ "AAA" , "ATAG" , "CTC" , "CT" , "C" ] Y_test = [...len ( X_test )), [ 1.0 if c else - 1.0 for c in Y_test ], s =...
    scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpr_on_structured_data.html
    Mon Apr 15 14:09:27 UTC 2024
      57.2K bytes
      Cache
     
  20. Ordinary Least Squares and Ridge Regression Var...

    plot ( X_test , clf . predict ( X_test ), color = "gray"...) ax . plot ( X_test , clf . predict ( X_test ), linewidth = 2...
    scikit-learn.org/stable/auto_examples/linear_model/plot_ols_ridge_variance.html
    Mon Apr 15 14:09:28 UTC 2024
      28K bytes
      Cache
     
Back to top