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permutation_test_score — scikit-learn 1.6.1 doc...
calculated as: (C + 1) / (n_permutations + 1) Where C is the number...scikit-learn.org/stable/modules/generated/sklearn.model_selection.permutation_test_score.html -
2.4. Biclustering — scikit-learn 1.6.1 document...
as follows: \[A_n = R^{-1/2} A C^{-1/2}\] Where \(R\) is the diagonal...to \(\sum_{j} A_{ij}\) and \(C\) is the diagonal matrix with...scikit-learn.org/stable/modules/biclustering.html -
LogisticRegression — scikit-learn 1.6.1 documen...
C = 1.0 , fit_intercept = True ,...both dense and sparse input. Use C-ordered arrays or CSR matrices...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html -
check_array — scikit-learn 1.6.1 documentation
‘C’} or None, default=None Whether...will be forced to be fortran or c-style. When order is None (default),...scikit-learn.org/stable/modules/generated/sklearn.utils.check_array.html -
GitHub - codelibs/fess-testdata: Test Data Repo...
9% C 0.4% C++ 0.4% Other 0.4% You can’t...github.com/codelibs/fess-testdata -
PolynomialFeatures — scikit-learn 1.6.1 documen...
order {‘C’, ‘F’}, default=’C’ Order of output array...include_bias = True , order = 'C' ) [source] # Generate polynomial...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.PolynomialFeatures.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 -
GaussianNB — scikit-learn 1.6.1 documentation
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 -
ValidationCurveDisplay — scikit-learn 1.6.1 doc...
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 -
BernoulliNB — scikit-learn 1.6.1 documentation
References C.D. Manning, P. Raghavan and H....The input samples. Returns : C ndarray of shape (n_samples,)...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.BernoulliNB.html