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ndcg_score — scikit-learn 1.7.1 documentation
422-446. Wang, Y., Wang, L., Li, Y., He, D., Chen, W., & Liu,...true_relevance , scores ) 0.69 >>> scores = np . asarray ([[ .05 , 1.1 , 1....scikit-learn.org/stable/modules/generated/sklearn.metrics.ndcg_score.html -
explained_variance_score — scikit-learn 1.7.1 d...
= [ 3 , - 0.5 , 2 , 7 ] >>> y_pred = [ 2.5 , 0.0 , 2 , 8 ] >>>...[ - 1 , 1 ], [ 7 , - 6 ]] >>> y_pred = [[ 0 , 2 ], [ - 1 , 2...scikit-learn.org/stable/modules/generated/sklearn.metrics.explained_variance_score.html -
plot_classifier_comparison.ipynb
x_min, x_max = X[:, 0].min() - 0.5, X[:, 0].max() + 0.5\n y_min,...GaussianProcessClass(1.0 * RBF(1.0), random_state=42),\n DecisionTreeClassifi(max_depth=5,...scikit-learn.org/stable/_downloads/3438aba177365cb595921cf18806dfa7/plot_classifier_comparison.ipynb -
LinearSVC — scikit-learn 1.7.1 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 -
Perceptron — scikit-learn 1.7.1 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 1.7.1 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 -
PolynomialFeatures — scikit-learn 1.7.1 documen...
) array([[ 1., 0., 1., 0.], [ 1., 2., 3., 6.], [ 1., 4., 5.,...1., 2., 3., 4., 6., 9.], [ 1., 4., 5., 16., 20., 25.]]) >>> poly...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.PolynomialFeatures.html -
l1_min_c — scikit-learn 1.7.1 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 -
sklearn.preprocessing — scikit-learn 1.7.1 docu...
one-vs-all fashion. maxabs_scale Scale each feature to the [-1, 1]...scaling, centering, normalization, binarization, and more. User...scikit-learn.org/stable/api/sklearn.preprocessing.html -
sklearn.feature_selection — scikit-learn 1.7.1 ...
Ctrl + K GitHub Choose version sklearn.feature_selection # Feature...removes all low-variance features. chi2 Compute chi-squared stats...scikit-learn.org/stable/api/sklearn.feature_selection.html