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sklearn.preprocessing.OrdinalEncoder — scikit-l...
(c.f. bpo-43475 ). Examples Given...into a single category, “b” and “c” are their own categories, unknown...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OrdinalEncoder.html -
sklearn.preprocessing.SplineTransformer — sciki...
order {‘C’, ‘F’}, default=’C’ Order of output array...include_bias = True , order = 'C' , sparse_output = False ) [source]...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.SplineTransformer.html -
10 PRINT "HELLO METAFILTER"; 20 GOTO 10 | MetaF...
-> Java -> C++ & HLSL & C# (third job) -> C++ & C#, and sometimes...that did nothing in C. Includes? main? return? C'mon, just give me...www.metafilter.com/203575/10-PRINT-HELLO-METAFILTER-20-GOTO-10 -
sklearn.calibration.CalibratedClassifierCV — sc...
Zadrozny & C. Elkan, ICML 2001 [ 2 ] Transforming...Probability Estimates, B. Zadrozny & C. Elkan, (KDD 2002) [ 3 ] Probabilistic...scikit-learn.org/stable/modules/generated/sklearn.calibration.CalibratedClassifierCV.html -
sklearn.naive_bayes.MultinomialNB — scikit-lear...
References C.D. Manning, P. Raghavan and H....The input samples. Returns : C ndarray of shape (n_samples,)...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.MultinomialNB.html -
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.naive_bayes.ComplementNB — scikit-learn...
Returns : C ndarray of shape (n_samples,)...The input samples. Returns : C ndarray of shape (n_samples, n_classes)...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.ComplementNB.html -
sklearn.svm.SVR — scikit-learn 1.4.2 documentation
C = 1.0 , epsilon = 0.1 , shrinking...free parameters in the model are C and epsilon. The implementation...scikit-learn.org/stable/modules/generated/sklearn.svm.SVR.html -
6.7. Kernel Approximation — scikit-learn 1.4.2 ...
\prod_i \frac{2\sqrt{x_i+c}\sqrt{y_i+c}}{x_i + y_i + 2c}\] It has...free parameter, that is called \(c\) . For a motivation for this...scikit-learn.org/stable/modules/kernel_approximation.html