Search Options

Results per page
Sort
Preferred Languages
Labels
Advance

Results 51 - 60 of 113 for c (0.03 sec)

  1. Pipelining: chaining a PCA and a logistic regre...

    874): {'logistic__C': np.float64(21.54434690031882),..., 30 , 45 , 60 ], "logistic__C" : np . logspace ( - 4 , 4 , 4...
    scikit-learn.org/stable/auto_examples/compose/plot_digits_pipe.html
    Wed Oct 30 20:01:23 UTC 2024
      92.7K bytes
      Cache
     
  2. Plot different SVM classifiers in the iris data...

    C = C ), svm . LinearSVC ( C = C , max_iter = 10000...kernel = "rbf" , gamma = 0.7 , C = C ), svm . SVC ( kernel = "poly"...
    scikit-learn.org/stable/auto_examples/svm/plot_iris_svc.html
    Wed Oct 30 20:01:21 UTC 2024
      88.7K bytes
      Cache
     
  3. MNIST classification using multinomial logistic...

    y_test ) # print('Best C % .4f' % clf.C_) print ( "Sparsity with...convergence clf = LogisticRegression ( C = 50.0 / train_samples , penalty...
    scikit-learn.org/stable/auto_examples/linear_model/plot_sparse_logistic_regression_mnist.html
    Wed Oct 30 20:01:21 UTC 2024
      91.9K bytes
      Cache
     
  4. Developer’s Guide — scikit-learn 1.6.dev0 docum...

    Cython or C/C++? Profiling Python code Memory...
    scikit-learn.org/dev/developers/index.html
    Wed Oct 30 20:01:22 UTC 2024
      40.6K bytes
      Cache
     
  5. Plot the support vectors in LinearSVC — scikit-...

    SVM loss clf = LinearSVC ( C = C , loss = "hinge" , random_state..."k" , ) plt . title ( "C=" + str ( C )) plt . tight_layout ()...
    scikit-learn.org/stable/auto_examples/svm/plot_linearsvc_support_vectors.html
    Wed Oct 30 20:01:21 UTC 2024
      87.6K bytes
      Cache
     
  6. Gaussian Mixture Model Ellipsoids — scikit-lear...

    "c" , "cornflowerblue" , "gold" ,...components np . random . seed ( 0 ) C = np . array ([[ 0.0 , - 0.1 ],...
    scikit-learn.org/stable/auto_examples/mixture/plot_gmm.html
    Wed Oct 30 20:01:23 UTC 2024
      96K bytes
      Cache
     
  7. Decision boundary of semi-supervised classifier...

    c_ [ xx . ravel (), yy . ravel ()])...scatter ( X [:, 0 ], X [:, 1 ], c = colors , edgecolors = "black"...
    scikit-learn.org/stable/auto_examples/semi_supervised/plot_semi_supervised_versus_svm_iris.html
    Wed Oct 30 20:01:23 UTC 2024
      97.4K bytes
      Cache
     
  8. Logistic Regression 3-class Classifier — scikit...

    logreg = LogisticRegression ( C = 1e5 ) logreg . fit ( X , Y )...scatter ( X [:, 0 ], X [:, 1 ], c = Y , edgecolors = "k" , cmap...
    scikit-learn.org/stable/auto_examples/linear_model/plot_iris_logistic.html
    Wed Oct 30 20:01:21 UTC 2024
      83.1K bytes
      Cache
     
  9. SVM: Maximum margin separating hyperplane — sci...

    C = 1000 ) clf . fit ( X , y ) plt...scatter ( X [:, 0 ], X [:, 1 ], c = y , s = 30 , cmap = plt . cm...
    scikit-learn.org/stable/auto_examples/svm/plot_separating_hyperplane.html
    Wed Oct 30 20:01:21 UTC 2024
      83.6K bytes
      Cache
     
  10. Plot randomly generated classification dataset ...

    c = Y1 , s = 25 , edgecolor = "k"...], X1 [:, 1 ], marker = "o" , c = Y1 , s = 25 , edgecolor = "k"...
    scikit-learn.org/stable/auto_examples/datasets/plot_random_dataset.html
    Wed Oct 30 20:01:23 UTC 2024
      97.3K bytes
      Cache
     
Back to top