- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 21 - 30 of 464 for c (0.04 sec)
-
NuSVR — scikit-learn 1.5.0 documentation
C float, default=1.0 Penalty parameter C of the error...sklearn.svm. NuSVR ( * , nu = 0.5 , C = 1.0 , kernel = 'rbf' , degree...scikit-learn.org/stable/modules/generated/sklearn.svm.NuSVR.html -
Introducing Scalar Quantization in Lucene — Ela...
documents each and segment C C C only 100 100 100 documents....1000 1000 1000 documents and C C C only has 100 100 100 . In the...www.elastic.co/search-labs/blog/scalar-quantization-in-lucene -
bootstrap.js
F="y"===C?n:r,H="y"===C?s:o,W="y"===C?"height":"width",z=x[C],R=...;x[C]=ht,M[C]=ht-z}if(u){var dt,ut="x"===C?n:r,ft="x"===C?s:...scikit-learn.org/dev/_static/scripts/bootstrap.js -
permutation_test_score — scikit-learn 1.5.0 doc...
calculated as: (C + 1) / (n_permutations + 1) Where C is the number...scikit-learn.org/stable/modules/generated/sklearn.model_selection.permutation_test_score.html -
plot_classifier_comparison.ipynb
C=0.025, random_state=42),\n SVC(gamma=2, C=1, random_state=42),\n...ax.scatter(X_train[:, 0], X_train[:, 1], c=y_train, cmap=cm_bright, edgecolors=\"k\")\n...scikit-learn.org/stable/_downloads/3438aba177365cb595921cf18806dfa7/plot_classifier_comparison.ipynb -
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 -
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 -
2.4. Biclustering — scikit-learn 1.5.0 document...
as follows: \[A_n = R^{-1/2} A C^{-1/2}\] Where \(R\) is the diagonal...to \(\sum_{j} A_{ij}\) and \(C\) is the diagonal matrix with...scikit-learn.org/stable/modules/biclustering.html -
SVR — scikit-learn 1.5.0 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 -
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