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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 -
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 -
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 -
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 -
related_projects.rst.txt
trained scikit-learn models to C, Java, Javascript and others....estimators into a native code of C, Java, Go, R, PHP, Dart, Haskell,...scikit-learn.org/stable/_sources/related_projects.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 -
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