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Supervised learning: predicting an output varia...
c_ [ .5 , 1 ] . T >>> y = [ .5 , 1 ] >>> test = np . c_ [...is set by the C parameter: a small value for C means the margin...scikit-learn.org/stable/tutorial/statistical_inference/supervised_learning.html -
Universal Profiling - continuous profiling that...
C/C++, Node.js/V8, Ruby, Perl and...www.elastic.co/observability/universal-profiling -
sklearn.svm.SVC — scikit-learn 1.4.2 documentation
the parameter C of class i to class_weight[i]*C for SVC. If not...class sklearn.svm. SVC ( * , C = 1.0 , kernel = 'rbf' , degree...scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html -
sklearn.discriminant_analysis.QuadraticDiscrimi...
Returns : C ndarray of shape (n_samples,)...vectors X. The predicted class C for each sample in X is returned....scikit-learn.org/stable/modules/generated/sklearn.discriminant_analysis.QuadraticDiscriminantAnal... -
sklearn.linear_model.LogisticRegressionCV — sci...
the best C is the average of the C’s that correspond...folds, and the coefs and the C that corresponds to the best score...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegressionCV.html -
cross_validation.rst.txt
"c", "c", "c", "d", "d", "d"] >>> groups...= ["a", "b", "b", "b", "c", "c", "c", "a"] >>> groups = [1, 1,...scikit-learn.org/stable/_sources/modules/cross_validation.rst.txt -
auto_examples_python.zip
0") c = Tk.Frame(valbox) Tk.Label(c, text="C:", anchor="e",...print("Class", "P(C)", "P(w0|C)", "P(w1|C)", sep="\t") for k,...scikit-learn.org/stable/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip -
auto_examples_jupyter.zip
0\")\n c = Tk.Frame(valbox)\n Tk.Label(c, text=\"C:\", anchor=\"e\",...for i, c in enumerate(centers):\n ax2.scatter(c[0], c[1], marker=\"$%d$\"...scikit-learn.org/stable/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip -
sklearn.linear_model.HuberRegressor — scikit-le...
the samples where |(y - Xw - c) / sigma| < epsilon and the absolute...the samples where |(y - Xw - c) / sigma| > epsilon , where the...scikit-learn.org/stable/modules/generated/sklearn.linear_model.HuberRegressor.html -
sklearn.svm.LinearSVC — scikit-learn 1.4.2 docu...
the parameter C of class i to class_weight[i]*C for SVC. If not...dual = 'warn' , tol = 0.0001 , C = 1.0 , multi_class = 'ovr' ,...scikit-learn.org/stable/modules/generated/sklearn.svm.LinearSVC.html