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DBFlute用語集 C | DBFlute
SiteMap | Author's Blog DBFlute用語集 C "C" で始まる用語に関するページです。 CamelCase...(定数アノテーション) Java Tiger のアノテーションや C# の属性を代替する、言語のバージョンに依存せずに利用できる定数を使ったアノテーションを示します。...dbflute.seasar.org/ja/manual/reference/dictionary/alphabet/wc.html -
Model selection: choosing estimators and their ...
"c" , "c" , "c" , "c" , "c" ] >>> k_fold = KFold...True ) >>> svc = svm . SVC ( C = 1 , kernel = 'linear' ) >>>...scikit-learn.org/stable/tutorial/statistical_inference/model_selection.html -
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 -
install.rst.txt
for instance:: C:\Users\username>C:\Users\username\AppD...packages in the environment python -c "import sklearn; sklearn.show_versions()"...scikit-learn.org/stable/_sources/install.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 -
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 -
7.4. Loading other datasets — scikit-learn 1.5....
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 -
10 PRINT "HELLO METAFILTER"; 20 GOTO 10 | MetaF...
-> Java -> C++ & HLSL & C# (third job) -> C++ & C#, and sometimes...that did nothing in C. Includes? main? return? C'mon, just give me...www.metafilter.com/203575/10-PRINT-HELLO-METAFILTER-20-GOTO-10 -
Supervised learning: predicting an output varia...
c_ [ .5 , 1 ] . T >>> y = [ .5 , 1 ] >>> test = np . c_ [...is set by the C parameter: a small value for C means the margin...scikit-learn.org/stable/tutorial/statistical_inference/supervised_learning.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