scikit-learn

History

antoinebaker d388d88b93 DOC fix xlabel in Tweedie regression on insurance claims (#30362 ) Co-authored-by: Jérémie du Boisberranger <jeremie@probabl.ai>		2024-11-29 15:05:19 +01:00
..
README.txt	…
plot_ard.py	DOC fix all unintentional block quotes in docs (#29848 )	2024-09-16 18:04:56 +02:00
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	DOC fix all unintentional block quotes in docs (#29848 )	2024-09-16 18:04:56 +02:00
plot_lasso_dense_vs_sparse_data.py	…
plot_lasso_lars_ic.py	…
plot_lasso_lasso_lars_elasticnet_path.py	DOC Merge Lasso Lasso-LARS and ElasticNet examples together (#29955 )	2024-09-29 10:38:14 +02:00
plot_lasso_model_selection.py	…
plot_logistic.py	…
plot_logistic_l1_l2_sparsity.py	…
plot_logistic_multinomial.py	DOC remove redundant example multiclass logistic regression (#29966 )	2024-10-22 11:04:39 +00:00
plot_logistic_path.py	…
plot_multi_task_lasso_support.py	…
plot_nnls.py	…
plot_ols.py	DOC remove example OLS with 3D plot (#29967 )	2024-10-17 21:57:20 +02:00
plot_ols_ridge_variance.py	…
plot_omp.py	…
plot_poisson_regression_non_normal_loss.py	…
plot_polynomial_interpolation.py	…
plot_quantile_regression.py	…
plot_ransac.py	…
plot_ridge_coeffs.py	…
plot_ridge_path.py	…
plot_robust_fit.py	…
plot_sgd_comparison.py	…
plot_sgd_early_stopping.py	…
plot_sgd_iris.py	…
plot_sgd_loss_functions.py	…
plot_sgd_penalties.py	…
plot_sgd_separating_hyperplane.py	…
plot_sgd_weighted_samples.py	…
plot_sgdocsvm_vs_ocsvm.py	…
plot_sparse_logistic_regression_20newsgroups.py	…
plot_sparse_logistic_regression_mnist.py	…
plot_theilsen.py	…
plot_tweedie_regression_insurance_claims.py	DOC fix xlabel in Tweedie regression on insurance claims (#30362 )	2024-11-29 15:05:19 +01:00

README.txt

.. _linear_examples:

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

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