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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。"); }raw.githubusercontent.com/codelibs/fess-testdata/master/source_code/test.c -
linear_model.rst.txt
``C`` is given by ``alpha = 1 / C`` or ``alpha =...:func:`sklearn.svm.l1_min_c` allows to calculate the lower bound for C in order...scikit-learn.org/stable/_sources/modules/linear_model.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 -
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 -
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 -
about.rst.txt
a 501(c)(3) non-profit organization based...scikit-learn.org/stable/_sources/about.rst.txt -
plot_discretization_strategies.rst.txt
c_[xx.ravel(), yy.ravel()] ax.set_xlim(xx.min(),...scikit-learn.org/stable/_sources/auto_examples/preprocessing/plot_discretization_strategies.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 -
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 -
neighbors.rst.txt
:math:`C`, then we know that points :math:`A` and :math:`C` are...p_{i}=\sum\limits_{j \in C_i}{p_{i j}} where :math:`C_i` is the set of...scikit-learn.org/stable/_sources/modules/neighbors.rst.txt