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Plot multi-class SGD on the iris dataset — scik...
x0 * coef [ c , 0 ]) - intercept [ c ]) / coef [ c , 1 ] plt ....for colormapping provided via 'c'. Parameters 'cmap' will be ignored...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_iris.html -
1.9. Naive Bayes — scikit-learn 1.5.0 documenta...
to class \(c\) , \(N_{c} = |\{ j \in J\mid y_j = c\}|\) is the...\sum_{j:y_j \neq c} d_{ij}} {\alpha + \sum_{j:y_j \neq c} \sum_{k} d_{kj}}\\w_{ci}...scikit-learn.org/stable/modules/naive_bayes.html -
Comparing various online solvers — scikit-learn...
C = 1.0 , tol = 1e-4 ), ), ( "Passive-Aggressive...110 , loss = "squared_hinge" , C = 1.0 , tol = 1e-4 ), ), ( "SAG"...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_comparison.html -
1.13. Feature selection — scikit-learn 1.5.0 do...
the parameter C controls the sparsity: the smaller C the fewer features...(150, 4) >>> lsvc = LinearSVC ( C = 0.01 , penalty = "l1" , dual...scikit-learn.org/stable/modules/feature_selection.html -
8.3. Parallelism, resource management, and conf...
used in C or Cython code. with lower-level...parallelize code written in Cython or C, relying on multi-threading exclusively....scikit-learn.org/dev/computing/parallelism.html -
SVM: Weighted samples — scikit-learn 1.5.0 docu...
sample weighting rescales the C parameter, which means that the...classifier . decision_function ( np . c_ [ xx . ravel (), yy . ravel ()])...scikit-learn.org/stable/auto_examples/svm/plot_weighted_samples.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 -
7.1. Toy datasets — scikit-learn 1.5.0 document...
and C. L. Wilson, NIST Form-Based Handprint...NISTIR 5469, 1994. References # C. Kaynak (1995) Methods of Combining...scikit-learn.org/stable/datasets/toy_dataset.html -
An example of K-Means++ initialization — scikit...
c = col , marker = "." , s = 10...[:, 0 ], centers_init [:, 1 ], c = "b" , s = 50 ) plt . title (...scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_plusplus.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