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test.c
#include <sdtio.h> int main(void) { printf("Lorem ipsum. (ロレム・イプサム) 吾輩は猫である。"); } 0raw.githubusercontent.com/codelibs/fess-testdata/master/files/source_code/test.c -
plot_classifier_comparison.rst.txt
C=0.025, random_state=42), SVC(gamma=2, C=1, random_state=42),...ax.scatter(X_train[:, 0], X_train[:, 1], c=y_train, cmap=cm_bright, edgecolors="k")...scikit-learn.org/stable/_sources/auto_examples/classification/plot_classifier_comparison.rst.txt -
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 -
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 -
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 -
plot_release_highlights_1_8_0.rst.txt
html#:~:text=C,-float%2C%20default%3D1.0"> C <span class="p...or with conda:: conda install -c conda-forge scikit-learn .. GENERATED...scikit-learn.org/stable/_sources/auto_examples/release_highlights/plot_release_highlights_1_8_0.r... -
clustering.rst.txt
- \frac{H(C|K)}{H(C)} .. math:: c = 1 - \frac{H(K|C)}{H(K)} where...math:: H(C|K) = - \sum_{c=1}^{|C|} \sum_{k=1}^{|K|} \frac{n_{c,k}}{n}...scikit-learn.org/stable/_sources/modules/clustering.rst.txt -
linear_model.rst.txt
``C`` is given by ``alpha = 1 / C`` or ``alpha =...(scaled) dual variable :math:`v = c r`, current residual :math:`r...scikit-learn.org/stable/_sources/modules/linear_model.rst.txt -
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 -
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