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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 -
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 -
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 -
index.rst.txt
a subset of the MNIST digits c..."> .. only:: html .. image::...evaluate the significance of a c..."> .. only:: html .. image::...scikit-learn.org/stable/_sources/auto_examples/index.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 -
decomposition.rst.txt
C. Sorensen, and C. Yang, (1998) |details-end|....org/Boutsidis_PRE_08.pdf>`_ C. Boutsidis, E. Gallopoulos, 2008...scikit-learn.org/stable/_sources/modules/decomposition.rst.txt -
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 -
install.rst.txt
for instance:: C:\Users\username>C:\Users\username\AppD...><span>conda create -n sklearn-env -c conda-forge scikit-learn</span>...scikit-learn.org/stable/_sources/install.rst.txt -
classes.rst.txt
l1_min_c .. _tree_ref: :mod:`sklearn.tree`:...scikit-learn.org/stable/_sources/modules/classes.rst.txt