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sklearn.svm.NuSVC — scikit-learn 1.4.2 document...
the parameter C of class i to class_weight[i]*C for SVC. If not...(n_classes,) Multipliers of parameter C of each class. Computed based...scikit-learn.org/stable/modules/generated/sklearn.svm.NuSVC.html -
sklearn.naive_bayes.BernoulliNB — scikit-learn ...
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.BernoulliNB.html -
Elastic Universal Profiling™, a continuous prof...
C/C++, Zig, Node.js/V8, Ruby, and...www.elastic.co/blog/continuous-profiling-is-generally-available -
sklearn.naive_bayes.GaussianNB — scikit-learn 1...
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.GaussianNB.html -
plot_pca_iris.ipynb
c=y, cmap=plt.cm.nipy_spectral,...scikit-learn.org/stable/_downloads/46b6a23d83637bf0f381ce9d8c528aa2/plot_pca_iris.ipynb -
feature_selection.rst.txt
the parameter C controls the sparsity: the smaller C the fewer features...(150, 4) >>> lsvc = LinearSVC(C=0.01, penalty="l1", dual=False).fit(X,...scikit-learn.org/stable/_sources/modules/feature_selection.rst.txt -
6.6. Random Projection — scikit-learn 1.4.2 doc...
\[\begin{split}\left\{ \begin{array}{c c l} -\sqrt{\frac{s}{n_{\text{components}}}}...scikit-learn.org/stable/modules/random_projection.html -
sklearn.model_selection.ValidationCurveDisplay ...
param_range = "C" , np . logspace ( - 8 , 3 , 10...>>> param_name , param_range = "C" , np . logspace ( - 8 , 3 , 10...scikit-learn.org/stable/modules/generated/sklearn.model_selection.ValidationCurveDisplay.html -
model_evaluation.rst.txt
math:: \frac{1}{c(c-1)}\sum_{j=1}^{c}\sum_{k > j}^c (\text{AUC}(j...math:: \frac{1}{c(c-1)}\sum_{j=1}^{c}\sum_{k > j}^c p(j \cup k)(...scikit-learn.org/stable/_sources/modules/model_evaluation.rst.txt -
decomposition.rst.txt
C. Sorensen, and C. Yang, (1998) |details-end|....org/Boutsidis_PRE_08.pdf>`_ C. Boutsidis, E. Gallopoulos, 2008...scikit-learn.org/stable/_sources/modules/decomposition.rst.txt