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Kernel Approximation — scikit-learn 1.7.1 docum...
Examples concerning the sklearn.kernel_approximation module. Scalable learning with polynomial kernel approximationscikit-learn.org/stable/auto_examples/kernel_approximation/index.html -
check_consistent_length — scikit-learn 1.7.1 do...
Skip to main content Back to top Ctrl + K GitHub Choose version check_consistent_length # sklearn.utils. check_consis...scikit-learn.org/stable/modules/generated/sklearn.utils.check_consistent_length.html -
inplace_swap_column — scikit-learn 1.7.1 docume...
Skip to main content Back to top Ctrl + K GitHub Choose version inplace_swap_column # sklearn.utils.sparsefuncs. inpl...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.inplace_swap_column.html -
safe_sparse_dot — scikit-learn 1.7.1 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version safe_sparse_dot # sklearn.utils.extmath. safe_sparse_...scikit-learn.org/stable/modules/generated/sklearn.utils.extmath.safe_sparse_dot.html -
estimator_checks_generator — scikit-learn 1.7.1...
Skip to main content Back to top Ctrl + K GitHub Choose version estimator_checks_generator # sklearn.utils.estimator_...scikit-learn.org/stable/modules/generated/sklearn.utils.estimator_checks.estimator_checks_generat... -
inplace_row_scale — scikit-learn 1.7.1 document...
Skip to main content Back to top Ctrl + K GitHub Choose version inplace_row_scale # sklearn.utils.sparsefuncs. inplac...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.inplace_row_scale.html -
sklearn.naive_bayes — scikit-learn 1.7.1 docume...
Naive Bayes algorithms. These are supervised learning methods based on applying Bayes’ theorem with strong (naive) feature independence assumptions. User guide. See the Naive Bayes section for furt...scikit-learn.org/stable/api/sklearn.naive_bayes.html -
Imputing missing values with variants of Iterat...
The IterativeImputer class is very flexible - it can be used with a variety of estimators to do round-robin regression, treating every variable as an output in turn. In this example we compare some...scikit-learn.org/stable/auto_examples/impute/plot_iterative_imputer_variants_comparison.html -
Prediction Intervals for Gradient Boosting Regr...
This example shows how quantile regression can be used to create prediction intervals. See Features in Histogram Gradient Boosting Trees for an example showcasing some other features of HistGradien...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_quantile.html -
Robust vs Empirical covariance estimate — sciki...
The usual covariance maximum likelihood estimate is very sensitive to the presence of outliers in the data set. In such a case, it would be better to use a robust estimator of covariance to guarant...scikit-learn.org/stable/auto_examples/covariance/plot_robust_vs_empirical_covariance.html