- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 21 - 30 of 386 for c (0.1 sec)
-
make_multilabel_classification — scikit-learn 1...
choose a class c: c ~ Multinomial(theta) pick the...a word: w ~ Multinomial(theta_c) In the above process, rejection...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_multilabel_classification.html -
6.7. Kernel Approximation — scikit-learn 1.5.0 ...
\prod_i \frac{2\sqrt{x_i+c}\sqrt{y_i+c}}{x_i + y_i + 2c}\] It has...kernels” Li, F., Ionescu, C., and Sminchisescu, C. - Pattern Recognition,...scikit-learn.org/stable/modules/kernel_approximation.html -
QuadraticDiscriminantAnalysis — scikit-learn 1....
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... -
LogisticRegressionCV — scikit-learn 1.5.0 docum...
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 -
Universal Profiling - continuous profiling that...
www.elastic.co/observability/universal-profiling -
3.2. Tuning the hyper-parameters of an estimato...
Typical examples include C , kernel and gamma for Support...param_grid : param_grid = [ { 'C' : [ 1 , 10 , 100 , 1000 ], 'kernel'...scikit-learn.org/stable/modules/grid_search.html -
MultinomialNB — scikit-learn 1.5.0 documentation
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 -
CalibratedClassifierCV — scikit-learn 1.5.0 doc...
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.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 -
4.1. Partial Dependence and Individual Conditio...
\mathbb{E}_{X_C}\left[ f(x_S, X_C) \right]\\ &= \int f(x_S, x_C) p(x_C)...p(x_C) dx_C,\end{split}\] where \(f(x_S, x_C)\) is the response function...scikit-learn.org/stable/modules/partial_dependence.html