scikit-learn/examples/linear_model
Dimitri Papadopoulos Orfanos e47b7c0f49
MNT use fstring (#31205)
Co-authored-by: Jérémie du Boisberranger <jeremie@probabl.ai>
2025-04-15 21:32:42 +00:00
..
README.txt
plot_ard.py
plot_bayesian_ridge_curvefit.py
plot_elastic_net_precomputed_gram_matrix_with_weighted_samples.py
plot_huber_vs_ridge.py
plot_lasso_and_elasticnet.py
plot_lasso_dense_vs_sparse_data.py
plot_lasso_lars_ic.py
plot_lasso_lasso_lars_elasticnet_path.py
plot_lasso_model_selection.py
plot_logistic.py
plot_logistic_l1_l2_sparsity.py
plot_logistic_multinomial.py
plot_logistic_path.py
plot_multi_task_lasso_support.py
plot_nnls.py
plot_ols_ridge.py DOC add plot_ols_ridge_variance example to the doc (#30683) 2025-02-19 10:36:12 +00:00
plot_omp.py
plot_poisson_regression_non_normal_loss.py
plot_polynomial_interpolation.py
plot_quantile_regression.py DOC improve quantile regression example (#31008) 2025-03-18 17:31:18 +00:00
plot_ransac.py
plot_ridge_coeffs.py
plot_ridge_path.py
plot_robust_fit.py
plot_sgd_early_stopping.py
plot_sgd_iris.py MNT Update index finding to use np.nonzero (#31115) 2025-04-11 17:18:51 +00:00
plot_sgd_loss_functions.py
plot_sgd_penalties.py
plot_sgd_separating_hyperplane.py
plot_sgd_weighted_samples.py
plot_sgdocsvm_vs_ocsvm.py MNT Enforce ruff rules (RUF) (#30694) 2025-03-18 09:36:12 +01:00
plot_sparse_logistic_regression_20newsgroups.py
plot_sparse_logistic_regression_mnist.py MNT use fstring (#31205) 2025-04-15 21:32:42 +00:00
plot_theilsen.py
plot_tweedie_regression_insurance_claims.py MNT Use ruff format rather than black (#31015) 2025-04-15 13:11:52 +02:00

README.txt

.. _linear_examples:

Generalized Linear Models
-------------------------

Examples concerning the :mod:`sklearn.linear_model` module.