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LinearSVC — scikit-learn 1.5.0 documentation
the parameter C of class i to class_weight[i]*C for SVC. If not...dual = 'auto' , tol = 0.0001 , C = 1.0 , multi_class = 'ovr' ,...scikit-learn.org/stable/modules/generated/sklearn.svm.LinearSVC.html -
OrdinalEncoder — scikit-learn 1.5.0 documentation
(c.f. bpo-43475 ). Examples Given...into a single category, “b” and “c” are their own categories, unknown...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OrdinalEncoder.html -
SplineTransformer — scikit-learn 1.5.0 document...
order {‘C’, ‘F’}, default=’C’ Order of output array...include_bias = True , order = 'C' , sparse_output = False ) [source]...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.SplineTransformer.html -
Supervised learning: predicting an output varia...
c_ [ .5 , 1 ] . T >>> y = [ .5 , 1 ] >>> test = np . c_ [...is set by the C parameter: a small value for C means the margin...scikit-learn.org/stable/tutorial/statistical_inference/supervised_learning.html -
3.1. Cross-validation: evaluating estimator per...
"c" , "c" , "c" , "d" , "d" , "d" ] >>>..."a" , "b" , "b" , "b" , "c" , "c" , "c" , "a" ] >>> groups = [...scikit-learn.org/stable/modules/cross_validation.html -
HuberRegressor — scikit-learn 1.5.0 documentation
the samples where |(y - Xw - c) / sigma| < epsilon and the absolute...the samples where |(y - Xw - c) / sigma| > epsilon , where the...scikit-learn.org/stable/modules/generated/sklearn.linear_model.HuberRegressor.html -
ComplementNB — scikit-learn 1.5.0 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.ComplementNB.html -
NearestCentroid — scikit-learn 1.5.0 documentation
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 -
LinearDiscriminantAnalysis — scikit-learn 1.5.0...
corresponds to sum_k prior_k * C_k where C_k is the covariance matrix...the samples in class k . The C_k are estimated using the (potentially...scikit-learn.org/stable/modules/generated/sklearn.discriminant_analysis.LinearDiscriminantAnalysi... -
permutation_test_score — scikit-learn 1.5.0 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