- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 51 - 60 of 420 for c (0.04 sec)
-
More D&D Info Cartoons | MetaFilter
1 favorite ] The "Destroy The C@" gag on the computer hits differently...it's not an attack on Objective C. That's too bad. posted by fleacircus...www.metafilter.com/203254/More-DandD-Info-Cartoons -
preprocessing.rst.txt
"b" and "c" are their own categories, unknown...... [["a"] * 5 + ["b"] * 20 + ["c"] * 10 + ["d"] * 3 + [np.nan]],...scikit-learn.org/stable/_sources/modules/preprocessing.rst.txt -
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 -
sklearn.decomposition.PCA — scikit-learn 1.4.2 ...
Recognition and Machine Learning” by C. Bishop, 12.2.1 p. 574 or htt...from: Tipping, M. E., and Bishop, C. M. (1999). “Probabilistic principal...scikit-learn.org/stable/modules/generated/sklearn.decomposition.PCA.html -
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.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 -
sklearn.inspection.DecisionBoundaryDisplay — sc...
c = iris . target , edgecolor =...scatter ( X [:, 0 ], X [:, 1 ], c = iris . target , edgecolor =...scikit-learn.org/stable/modules/generated/sklearn.inspection.DecisionBoundaryDisplay.html -
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 -
2.4. Biclustering — scikit-learn 1.4.2 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 -
sklearn.model_selection.permutation_test_score ...
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