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7.4. Loading other datasets — scikit-learn 1.6....
target ) array(['c-CS-m', 'c-CS-s', 'c-SC-m', 'c-SC-s', 't-CS-m',...2015 **Please cite**: Higuera C, Gardiner KJ, Cios KJ (2015) Self-Organizing...scikit-learn.org/stable/datasets/loading_other_datasets.html -
1.8. Cross decomposition — scikit-learn 1.6.1 d...
the cross-covariance matrix \(C = X_k^T Y_k\) . \(u_k\) and \(v_k\)...u_k\) and \(\omega_k = Y_k v_k\) c) Regress \(X_k\) on \(\xi_k\)...scikit-learn.org/stable/modules/cross_decomposition.html -
SVC — scikit-learn 1.6.1 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 -
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 -
clustering.rst.txt
\sum_{q=1}^k n_q (c_q - c_E) (c_q - c_E)^T with :math:`C_q` the set...math:: C = \left[\begin{matrix} C_{00} & C_{01} \\ C_{10} & C_{11}...scikit-learn.org/stable/_sources/modules/clustering.rst.txt -
grid_search.rst.txt
= [ {'C': [1, 10, 100, 1000], 'kernel': ['linear']}, {'C': [1,...classes. Typical examples include ``C``, ``kernel`` and ``gamma`` for...scikit-learn.org/stable/_sources/modules/grid_search.rst.txt -
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... -
Universal Profiling - continuous profiling that...
C/C++, Node.js/V8, Ruby, Perl and...www.elastic.co/observability/universal-profiling -
confusion_matrix — scikit-learn 1.6.1 documenta...
a confusion matrix \(C\) is such that \(C_{i, j}\) is equal to...negatives is \(C_{0,0}\) , false negatives is \(C_{1,0}\) , true...scikit-learn.org/stable/modules/generated/sklearn.metrics.confusion_matrix.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