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LinearSVC — scikit-learn 1.5.2 documentation
intercept term: [x_1, ..., x_n, 1] , where 1 corresponds to the...version 1.3: The "auto" option is added in version 1.3 and will...scikit-learn.org/stable/modules/generated/sklearn.svm.LinearSVC.html -
SelectFromModel — scikit-learn 1.5.2 documentation
[ - 1.34 , - 0.48 , - 2.55 ], ... [ 1.92 , 1.48 , 0.65...version 0.20. Changed in version 1.1: max_features accepts a callable....scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectFromModel.html -
HuberRegressor — scikit-learn 1.5.2 documentation
epsilon = 1.35 , max_iter = 100 , alpha =...Parameters : epsilon float, default=1.35 The parameter epsilon controls...scikit-learn.org/stable/modules/generated/sklearn.linear_model.HuberRegressor.html -
1.9. Naive Bayes — scikit-learn 1.5.2 documenta...
= P(x_i = 1 \mid y) x_i + (1 - P(x_i = 1 \mid y)) (1 - x_i)\]...that \[P(x_i | y, x_1, \dots, x_{i-1}, x_{i+1}, \dots, x_n) = P(x_i...scikit-learn.org/stable/modules/naive_bayes.html -
AdaBoostRegressor — scikit-learn 1.5.2 document...
the range [1, inf) . learning_rate float, default=1.0 Weight applied...n_estimators = 50 , learning_rate = 1.0 , loss = 'linear' , random_state...scikit-learn.org/stable/modules/generated/sklearn.ensemble.AdaBoostRegressor.html -
2.2. Manifold learning — scikit-learn 1.5.2 doc...
as \(L = D^{-\frac{1}{2}} (D - A) D^{-\frac{1}{2}}\) . Partial...\(\delta_{ij}=c_1-c_2 S_{ij}\) for some real constants \(c_1, c_2\) ....scikit-learn.org/stable/modules/manifold.html -
OrthogonalMatchingPursuitCV — scikit-learn 1.5....
means 1 unless in a joblib.parallel_backend context. -1 means...all strings. Added in version 1.0. See also orthogonal_mp Solves...scikit-learn.org/stable/modules/generated/sklearn.linear_model.OrthogonalMatchingPursuitCV.html -
StackingRegressor — scikit-learn 1.5.2 document...
in version 1.1: The ‘prefit’ option was added in 1.1 Note A larger...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.ensemble.StackingRegressor.html -
BernoulliNB — scikit-learn 1.5.2 documentation
Added in version 1.2. Changed in version 1.4: The default value...sklearn.naive_bayes. BernoulliNB ( * , alpha = 1.0 , force_alpha = True , binarize...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.BernoulliNB.html -
IterativeImputer — scikit-learn 1.5.2 documenta...
is met once max(abs(X_t - X_{t-1}))/max(abs(X[known_vals])) < tol...data types. Added in version 1.3. imputation_order {‘ascending’,...scikit-learn.org/stable/modules/generated/sklearn.impute.IterativeImputer.html