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make_gaussian_quantiles — scikit-learn 1.7.2 do...
dataset is from Zhu et al [1]. References [ 1 ] Zhu, H. Zou, S. Rosset,...es ( * , mean = None , cov = 1.0 , n_samples = 100 , n_features...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_gaussian_quantiles.html -
make_swiss_roll — scikit-learn 1.7.2 documentation
algorithm is from Marsland [1]. References [ 1 ] S. Marsland, “Machine...from Stephen Marsland’s code [1]. Parameters : n_samples int,...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_swiss_roll.html -
3.1. Cross-validation: evaluating estimator per...
3] [0 1] [1 3] [0 2] [1 2] [0 3] [0 3] [1 2] [0 2] [1 3] [0 1]...>>> y = [ 1 , 1 , 1 , 2 , 2 , 2 ] >>> groups = [ 1 , 1 , 2 , 2...scikit-learn.org/stable/modules/cross_validation.html -
SelectPercentile — scikit-learn 1.7.2 documenta...
Added in version 1.0. See also f_classif ANOVA F-value..."x1", ..., "x(n_features_in_ - 1)"] . If input_features is an array-like,...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectPercentile.html -
1.14. Semi-supervised learning — scikit-learn 1...
1.14.1. Self Training # This self-training...Ctrl + K GitHub Choose version 1.14. Semi-supervised learning #...scikit-learn.org/stable/modules/semi_supervised.html -
mean_poisson_deviance — scikit-learn 1.7.2 docu...
with the power parameter power=1 . Read more in the User Guide...mean_poisson_deviance >>> y_true = [ 2 , 0 , 1 , 4 ] >>> y_pred = [ 0.5 , 0.5...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_poisson_deviance.html -
Target is eliminating 1,800 corporate jobs as i...
that it is eliminating about 1,800 corporate positions in an...retailer’s customer base. About 1,000 employees are expected to...www.nbcnews.com/business/business-news/target-eliminating-1800-corporate-jobs-looks-reclaim-lost-... -
mean_pinball_loss — scikit-learn 1.7.2 document...
1 ) 0.03... >>> mean_pinball_loss ( y_true , [ 1 , 2 ,...scikit-learn 1.0 Release Highlights for scikit-learn 1.0 On this...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_pinball_loss.html -
2.8. Density Estimation — scikit-learn 1.7.2 do...
([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2...\(x_i; i=1, \cdots, N\) is given by: \[\rho_K(y) = \sum_{i=1}^{N}...scikit-learn.org/stable/modules/density.html -
plot_tree — scikit-learn 1.7.2 documentation
“x[1]”, …). class_names array-like...scikit-learn.org/stable/modules/generated/sklearn.tree.plot_tree.html