- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 51 - 60 of 113 for c (0.03 sec)
-
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 -
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 -
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 -
Developer’s Guide — scikit-learn 1.6.dev0 docum...
Cython or C/C++? Profiling Python code Memory...scikit-learn.org/dev/developers/index.html -
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 -
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 -
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 -
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 -
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 -
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