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sklearn.neighbors.NearestCentroid — scikit-lear...
The predicted class C for each sample in X is returned....n_features) Test samples. Returns : C ndarray of shape (n_samples,)...scikit-learn.org/stable/modules/generated/sklearn.neighbors.NearestCentroid.html -
Epistolary Novels List | National Postal Museum
[1936] The Screwtape Letters by C.S. Lewis [1942] Les Mantes Religieuses...Enchanted Chocolate Pot by Patricia C. Wrede and Caroline Stevermer...postalmuseum.si.edu/research-articles/epistolary-fiction/epistolary-novels-list -
2.4. Biclustering — scikit-learn 1.4.2 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 -
sklearn.model_selection.permutation_test_score ...
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 -
10 PRINT "HELLO METAFILTER"; 20 GOTO 10 | MetaF...
-> Java -> C++ & HLSL & C# (third job) -> C++ & C#, and sometimes...that did nothing in C. Includes? main? return? C'mon, just give me...www.metafilter.com/203575/10-PRINT-HELLO-METAFILTER-20-GOTO-10 -
sklearn.decomposition.IncrementalPCA — scikit-l...
Recognition and Machine Learning” by C. Bishop, 12.2.1 p. 574 or htt...Computations, Third Edition, G. Holub and C. Van Loan, Chapter 5, section...scikit-learn.org/stable/modules/generated/sklearn.decomposition.IncrementalPCA.html -
sklearn.linear_model.LogisticRegression — sciki...
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 -
sklearn.svm.SVR — scikit-learn 1.4.2 documentation
C = 1.0 , epsilon = 0.1 , shrinking...free parameters in the model are C and epsilon. The implementation...scikit-learn.org/stable/modules/generated/sklearn.svm.SVR.html -
sklearn.naive_bayes.ComplementNB — scikit-learn...
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.ComplementNB.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