Search Options

Results per page
Sort
Preferred Languages
Labels
Advance

Results 391 - 400 of 3,483 for 1 (0.09 sec)

  1. RBF SVM parameters — scikit-learn 1.6.0 documen...

    1 , 1e2 ] gamma_2d_range = [ 1e-1 , 1 , 1e1 ] classifiers...{'C': np.float64(1.0), 'gamma': np.float64(0.1)} with a score of...
    scikit-learn.org/stable/auto_examples/svm/plot_rbf_parameters.html
    Fri Dec 20 11:14:14 UTC 2024
      119.3K bytes
      Cache
     
  2. Lasso and Elastic Net — scikit-learn 1.5.2 docu...

    legend (( l1 [ - 1 ], l2 [ - 1 ]), ( "Lasso" , "Elastic-Net"...plt . legend (( l1 [ - 1 ], l2 [ - 1 ]), ( "Lasso" , "positive...
    scikit-learn.org/stable/auto_examples/linear_model/plot_lasso_coordinate_descent_path.html
    Sun Dec 08 14:35:21 UTC 2024
      98K bytes
      Cache
     
  3. accuracy_score — scikit-learn 1.6.0 documentation

    1 ], [ 1 , 1 ]]), np . ones (( 2 , 2...y_pred = [ 0 , 2 , 1 , 3 ] >>> y_true = [ 0 , 1 , 2 , 3 ] >>> accuracy_score...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.accuracy_score.html
    Fri Dec 20 11:14:16 UTC 2024
      116.7K bytes
      Cache
     
  4. Confusion matrix — scikit-learn 1.6.0 documenta...

    confusion matrix [[1. 0. 0. ] [0. 0.62 0.38] [0. 0. 1. ]] # Authors:...
    scikit-learn.org/stable/auto_examples/model_selection/plot_confusion_matrix.html
    Fri Dec 20 11:14:14 UTC 2024
      89.4K bytes
      Cache
     
  5. API Reference — scikit-learn 1.6.0 documentation

    Scale each feature to the [-1, 1] range without breaking the...make_friedman1 Generate the “Friedman #1” regression problem. sklearn.datasets...
    scikit-learn.org/stable/api/index.html
    Fri Dec 20 11:14:14 UTC 2024
      524.2K bytes
      Cache
      Similar Results (1)
     
  6. FeatureHasher and DictVectorizer Comparison — s...

    {'that': 1, 'is': 2, 'one': 2, 'example': 1, 'but': 1, 'this':...'this': 1, 'another': 1}) Observe in particular that the repeated token...
    scikit-learn.org/stable/auto_examples/text/plot_hashing_vs_dict_vectorizer.html
    Fri Dec 20 11:14:18 UTC 2024
      143.7K bytes
      Cache
     
  7. lars_path — scikit-learn 1.6.0 documentation

    the case method=’lasso’ is: ( 1 / ( 2 * n_samples )) * || y -...Xw ||^ 2_2 + alpha * || w || _1 in the case of method=’lar’, the...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.lars_path.html
    Fri Dec 20 11:14:14 UTC 2024
      120.8K bytes
      Cache
     
  8. export_text — scikit-learn 1.6.0 documentation

    (cm) <= 1.75 | | |--- class: 1 | |--- petal width (cm) > 1.75 |...be used (“feature_0”, “feature_1”, …). class_names array-like of...
    scikit-learn.org/stable/modules/generated/sklearn.tree.export_text.html
    Thu Dec 12 16:37:36 UTC 2024
      110.9K bytes
      1 views
      Cache
     
  9. shrunk_covariance — scikit-learn 1.6.0 document...

    1 ) [source] # Calculate covariance...ndarray. shrinkage float, default=0.1 Coefficient in the convex combination...
    scikit-learn.org/stable/modules/generated/sklearn.covariance.shrunk_covariance.html
    Fri Dec 20 11:14:16 UTC 2024
      108.7K bytes
      Cache
     
  10. Nearest Neighbors regression — scikit-learn 1.6...

    1 , i + 1 ) plt . scatter ( X_train...sort ( 5 * rng . rand ( 40 , 1 ), axis = 0 ) X_test = np . linspace...
    scikit-learn.org/stable/auto_examples/neighbors/plot_regression.html
    Fri Dec 20 11:14:14 UTC 2024
      91.9K bytes
      Cache
     
Back to top