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sklearn.naive_bayes.GaussianNB — scikit-learn 1...
Returns : C ndarray of shape (n_samples,)...The input samples. Returns : C ndarray of shape (n_samples, n_classes)...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.GaussianNB.html -
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 -
6.6. Random Projection — scikit-learn 1.4.2 doc...
\[\begin{split}\left\{ \begin{array}{c c l} -\sqrt{\frac{s}{n_{\text{components}}}}...scikit-learn.org/stable/modules/random_projection.html -
sklearn.model_selection.ValidationCurveDisplay ...
param_range = "C" , np . logspace ( - 8 , 3 , 10...>>> param_name , param_range = "C" , np . logspace ( - 8 , 3 , 10...scikit-learn.org/stable/modules/generated/sklearn.model_selection.ValidationCurveDisplay.html -
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 -
sklearn.metrics.hinge_loss — scikit-learn 1.4.2...
Multiclass Hinge Loss Models by Robert C. Moore, John DeNero . Examples...scikit-learn.org/stable/modules/generated/sklearn.metrics.hinge_loss.html -
An introduction to machine learning with scikit...
C = 100. ) The clf (for classifier)...digits . target [: - 1 ]) SVC(C=100.0, gamma=0.001) Now you can...scikit-learn.org/stable/tutorial/basic/tutorial.html -
sklearn.svm.OneClassSVM — scikit-learn 1.4.2 do...
Rescale C per sample. Higher weights force...estimator. Notes If X is not a C-ordered contiguous array it is...scikit-learn.org/stable/modules/generated/sklearn.svm.OneClassSVM.html -
sklearn.metrics.make_scorer — scikit-learn 1.4....
param_grid = { 'C' : [ 1 , 10 ]}, ... scoring =...scikit-learn.org/stable/modules/generated/sklearn.metrics.make_scorer.html