Search Options

Results per page
Sort
Preferred Languages
Labels
Advance

Results 41 - 50 of 165 for test (0.07 sec)

  1. Caching nearest neighbors — scikit-learn 1.5.0 ...

    cv_results_ [ "mean_test_score" ], yerr = grid_model...grid_model . cv_results_ [ "std_test_score" ], ) axes [ 0 ] . set ( xlabel...
    scikit-learn.org/stable/auto_examples/neighbors/plot_caching_nearest_neighbors.html
    Fri May 31 14:06:06 UTC 2024
      93K bytes
      Cache
     
  2. Orthogonal Matching Pursuit — scikit-learn 1.5....

    Train error vs Test error Train error vs Test error Feature agglomeration...
    scikit-learn.org/stable/auto_examples/linear_model/plot_omp.html
    Fri May 31 14:06:06 UTC 2024
      96.6K bytes
      Cache
     
  3. 1.17. Neural network models (supervised) — scik...

    transformation to test data >>> X_test = scaler . transform ( X_test ) An...apply the same scaling to the test set for meaningful results....
    scikit-learn.org/stable/modules/neural_networks_supervised.html
    Fri May 31 14:06:07 UTC 2024
      72.4K bytes
      Cache
     
  4. MNIST classification using multinomial logistic...

    X_test , y_train , y_test = train_test_split ( X ,...clf . score ( X_test , y_test ) # print('Best C % .4f' % clf.C_)...
    scikit-learn.org/stable/auto_examples/linear_model/plot_sparse_logistic_regression_mnist.html
    Fri May 31 14:06:06 UTC 2024
      95.5K bytes
      Cache
     
  5. Confusion matrix — scikit-learn 1.5.0 documenta...

    set and a test set X_train , X_test , y_train , y_test = train_test_split...from_estimator ( classifier , X_test , y_test , display_labels = class_names...
    scikit-learn.org/stable/auto_examples/model_selection/plot_confusion_matrix.html
    Fri May 31 14:06:04 UTC 2024
      88.7K bytes
      Cache
     
  6. Model Selection — scikit-learn 1.5.0 documentation

    (ROC) Nested versus non-nested cross-validation Nested versus...Train error vs Test error Train error vs Test error Underfitting...
    scikit-learn.org/stable/auto_examples/model_selection/index.html
    Fri May 31 14:06:06 UTC 2024
      94.9K bytes
      Cache
     
  7. Getting Started — scikit-learn 1.6.dev0 documen...

    X_test , y_train , y_test = train_test_split ( X ,...X_train , X_test , y_train , y_test = train_test_split ( X ,...
    scikit-learn.org/dev/getting_started.html
    Fri May 31 14:06:06 UTC 2024
      49.4K bytes
      Cache
      Similar Results (1)
     
  8. Gradient Boosting regularization — scikit-learn...

    X_test , y_train , y_test = train_test_split ( X ,...( X_test )): test_deviance [ i ] = 2 * log_loss ( y_test , y_proba...
    scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_regularization.html
    Fri May 31 14:06:06 UTC 2024
      95K bytes
      Cache
     
  9. Developers’ Tips and Tricks — scikit-learn 1.6....

    sklearn/linear_model/tests/test_logistic.py::test_sparsify or use...instance,: pytest sklearn/tests/test_common.py -v -k LogisticRegression...
    scikit-learn.org/dev/developers/tips.html
    Fri May 31 14:06:05 UTC 2024
      47.6K bytes
      Cache
     
  10. 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
    Fri May 31 14:06:06 UTC 2024
      94.9K bytes
      Cache
     
Back to top