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Support Vector Machines — scikit-learn 1.7.2 do...
sklearn.svm module. One-class SVM with non-linear kernel (RBF) One-class...One-class SVM with non-linear kernel (RBF) Plot classification...scikit-learn.org/stable/auto_examples/svm/index.html -
linear_model.rst.txt
linear_model.Ridge(alpha=.5) >>> reg.fit([[0, 0], [0, 0], [1, 1]], [0,...value. .. math:: \hat{y}(w, x) = w_0 + w_1 x_1 + ... + w_p x_p...scikit-learn.org/stable/_sources/modules/linear_model.rst.txt -
GammaRegressor — scikit-learn 1.7.2 documentation
float64(0.773) >>> clf . coef_ array([0.073, 0.067]) >>> clf . intercept_...intercept_ np.float64(2.896) >>> clf . predict ([[ 1 , 0 ], [ 2 , 8 ]])...scikit-learn.org/stable/modules/generated/sklearn.linear_model.GammaRegressor.html -
Perceptron — scikit-learn 1.7.2 documentation
0.001 , shuffle = True , verbose = 0 , eta0 = 1.0 , n_jobs =...penalty {‘l2’,’l1’,’elasticnet’}, default=None The penalty (aka regularization...scikit-learn.org/stable/modules/generated/sklearn.linear_model.Perceptron.html -
RANSACRegressor — scikit-learn 1.7.2 documentation
https://www.sri.com/wp-content/uploads/2021/12/ransac-publication.pdf...estimators. min_samples int (>= 1) or float ([0, 1]), default=None...scikit-learn.org/stable/modules/generated/sklearn.linear_model.RANSACRegressor.html -
MultiTaskLasso — scikit-learn 1.7.2 documentation
], [ 1 , 2 ], [ 2 , 4 ]], [[ 0 , 0 ], [ 1 , 1 ], [ 2 , 3 ]]) ...MultiTaskLasso(alpha=0.1) >>> print ( clf . coef_ ) [[0. 0.60809415]...scikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskLasso.html -
HuberRegressor — scikit-learn 1.7.2 documentation
HuberRegressor () . fit ( X , y ) >>> huber . score ( X , y ) -7.284 >>>...20 , ( 4 , 2 )) >>> y [: 4 ] = rng . uniform ( 10 , 20 , 4 ) >>>...scikit-learn.org/stable/modules/generated/sklearn.linear_model.HuberRegressor.html -
l1_min_c — scikit-learn 1.7.2 documentation
'squared_hinge' , fit_intercept = True ) : .4f } " ) 0.0044 Gallery examples...l1_min_c ( X , y , * , loss = 'squared_hinge' , fit_intercept = True...scikit-learn.org/stable/modules/generated/sklearn.svm.l1_min_c.html -
LinearSVC — scikit-learn 1.7.2 documentation
= 'auto' , tol = 0.0001 , C = 1.0 , multi_class = 'ovr' , fit_intercept...becomes [x_1, ..., x_n, intercept_scaling] , i.e. a “synthetic” feature...scikit-learn.org/stable/modules/generated/sklearn.svm.LinearSVC.html -
ConfusionMatrixDisplay — scikit-learn 1.7.2 doc...
classes_ ) >>> disp . plot () <...> >>> plt . show () classmethod...Sample weights. normalize {‘true’, ‘pred’, ‘all’}, default=None...scikit-learn.org/stable/modules/generated/sklearn.metrics.ConfusionMatrixDisplay.html