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1.3. Kernel ridge regression — scikit-learn 1.4...
parameters \(\epsilon\) and \(C\) of the SVR ; \(\epsilon = 0\)...scikit-learn.org/stable/modules/kernel_ridge.html -
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 -
sklearn.cluster.BisectingKMeans — scikit-learn ...
that if the original data is not C-contiguous, a copy will be made...The data will be converted to C ordering, which will cause a memory...scikit-learn.org/stable/modules/generated/sklearn.cluster.BisectingKMeans.html -
Release Highlights for scikit-learn 1.0 — sciki...
or with conda: conda install - c conda - forge scikit - learn Keyword...]], columns = [ "a" , "b" , "c" ]) scalar = StandardScaler ()...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_0_0.html -
sklearn.preprocessing.PolynomialFeatures — scik...
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 -
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 -
sklearn.decomposition.PCA — scikit-learn 1.4.2 ...
Recognition and Machine Learning” by C. Bishop, 12.2.1 p. 574 or htt...from: Tipping, M. E., and Bishop, C. M. (1999). “Probabilistic principal...scikit-learn.org/stable/modules/generated/sklearn.decomposition.PCA.html -
sklearn.svm.NuSVC — scikit-learn 1.4.2 document...
the parameter C of class i to class_weight[i]*C for SVC. If not...(n_classes,) Multipliers of parameter C of each class. Computed based...scikit-learn.org/stable/modules/generated/sklearn.svm.NuSVC.html -
sklearn.naive_bayes.BernoulliNB — scikit-learn ...
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