We have a rich set of examples covering a very broad range of issues, but they're not necessarily easily discoverable via the section on the bottom of the API pages.

This meta-issue is to keep track of the examples for which we've already included links in the docs, and to fix the rest.

An example of how to include links to examples in API docs and the user guide can be found here: #26926 . Please see how it can be done before claiming an example.

For each example, please check if it's already included in the docs, either user guides or API docs, and if not, claim it by leaving a comment at the bottom of this issue and open a pull request for it. You can open one PR for more than one example if they're very related.

Note that not all examples need to be included in this project. For instance, if an example is only a usage example, and putting a link to it doesn't add much for the users, then we can ignore it (please do leave a comment if this is your finding). Also, not all examples are in a good shape, and in your PR you can also improve the example itself.

How to create a link to an example?
To create a link to the example examples/developing_estimators/sklearn_is_fitted.py, you can write:

:ref:`sphx_glr_auto_examples_developing_estimators_sklearn_is_fitted.py`

which would automatically create the link. Notice the pattern where slashes (/) are converted to an underscore (_) and the sphx_glr_auto_ prefix.

IMPORTANT: Please limit your pull requests to a limited scope, single or two classes, or a single example so that it can be reviewed easily.

Here's a list of all examples:

• examples/applications:

  • plot_cyclical_feature_engineering.py
    • DOC linked SplineTransformer to time-related feature engineering example #26971
  • plot_digits_denoising.py
    • DOC Add links to digit denoising examples in docs and the user guide #28929
  • plot_face_recognition.py
    • DOC Add plot face recognition example to API docs #29049
  • plot_model_complexity_influence.py
  • plot_outlier_detection_wine.py
    • Doc add plot outlier detection wine to docs #29237
  • plot_out_of_core_classification.py
  • plot_prediction_latency.py
  • plot_species_distribution_modeling.py
  • plot_stock_market.py
  • plot_tomography_l1_reconstruction.py
  • plot_topics_extraction_with_nmf_lda.py
  • wikipedia_principal_eigenvector.py

• examples/bicluster:

  • plot_bicluster_newsgroups.py
  • plot_spectral_biclustering.py
    • DOC: Added ref to SpectralBiclustering #29311
  • plot_spectral_coclustering.py
    • Added Document refernce to spectral coclustering #29606

• examples/calibration:

  • plot_calibration_curve.py
  • plot_calibration_multiclass.py
  • plot_calibration.py
  • plot_compare_calibration.py

• examples/classification:

  • plot_classification_probability.py
  • plot_classifier_comparison.py
  • plot_digits_classification.py
  • plot_lda.py
    • DOC Linked examples for LDA and QDA in their docstrings (#26927) #28611
  • plot_lda_qda.py
    • DOC Linked examples for LDA and QDA in their docstrings (#26927) #28611

• examples/cluster:

  • plot_adjusted_for_chance_measures.py
  • plot_affinity_propagation.py
  • plot_agglomerative_clustering_metrics.py
  • plot_agglomerative_clustering.py
    • DOC Add link to AgglomerativeClustering example in docs #28922
  • plot_agglomerative_dendrogram.py
    • DOC Add links to AgglomerativeClustering examples in docs and the user guide #28885
  • plot_birch_vs_minibatchkmeans.py
    • Done
  • plot_bisect_kmeans.py
  • plot_cluster_comparison.py
  • plot_cluster_iris.py
    • DOC Add links to KMeans examples in docstrings and the user guide #27799
    • add link to example cluster_iris #26974
  • plot_coin_segmentation.py
  • plot_coin_ward_segmentation.py
  • plot_color_quantization.py
    • DOC Add links to KMeans examples in docstrings and the user guide #27799
  • plot_dbscan.py
  • plot_dict_face_patches.py
  • plot_digits_agglomeration.py
  • plot_digits_linkage.py
  • plot_face_compress.py
  • plot_feature_agglomeration_vs_univariate_selection.py
  • plot_hdbscan.py
    • Done!
  • plot_inductive_clustering.py
  • plot_kmeans_assumptions.py
    • DOC Add links to KMeans examples in docstrings and the user guide #27799
  • plot_kmeans_digits.py
    • DOC link to example explaining init usage in KMeans #26981
    • DOC Add links to KMeans examples in docstrings and the user guide #27799
  • plot_kmeans_plusplus.py
    • Plot kmeans plusplus #30126
  • plot_kmeans_silhouette_analysis.py
    • DOC Add links to KMeans examples in docstrings and the user guide #27799
  • plot_kmeans_stability_low_dim_dense.py
    • DOC Add links to example plot_kmeans_stability_low_dim_dense.py #30349
  • plot_linkage_comparison.py
    • DOC Add links to AgglomerativeClustering examples in docs and the user guide #28885
  • plot_mean_shift.py
  • plot_mini_batch_kmeans.py
    • DOC Add links to KMeans examples in docstrings and the user guide #27799
  • plot_optics.py
    • DOC Add link to plot_optics.py #26970
  • plot_segmentation_toy.py
  • plot_ward_structured_vs_unstructured.py

• examples/compose:

  • plot_column_transformer_mixed_types.py
    • DOC Add links to pipelines examples in docstrings #26904
  • plot_column_transformer.py
    • DOC Add links to pipelines examples in docstrings #26904
  • plot_compare_reduction.py
    • DOC Add links to pipelines examples in docstrings #26904
  • plot_digits_pipe.py
    • DOC Add links to pipelines examples in docstrings #26904
  • plot_feature_union.py
    • DOC Add links to pipelines examples in docstrings #26904
  • plot_transformed_target.py
    • DOC Add links to pipelines examples in docstrings #26904

• examples/covariance:

  • plot_covariance_estimation.py
  • plot_lw_vs_oas.py
    • DOC add link to plot_lw_vs_oas example in docstrings #30577
  • plot_mahalanobis_distances.py
  • plot_robust_vs_empirical_covariance.py
  • plot_sparse_cov.py

• examples/cross_decomposition:

  • plot_compare_cross_decomposition.py
    • DOC add links to cca examples #26966
    • DOC add links to cross decomposition examples #26934
  • plot_pcr_vs_pls.py
    • DOC add links to cross decomposition examples #26934

• examples/datasets:

  • plot_digits_last_image.py
  • plot_iris_dataset.py
    • DOC improve iris example #26973
  • plot_random_dataset.py
    • DOC Added links for random_datasets example #27056
  • plot_random_multilabel_dataset.py
    • Added link to plot randomly generated multilabel dataset example to _samples_generator.py #27517

• examples/decomposition:

  • plot_faces_decomposition.py
    • DOC Add links to decomposition examples in docstrings and user guide #26932
  • plot_ica_blind_source_separation.py
  • plot_ica_vs_pca.py
  • plot_image_denoising.py
  • plot_incremental_pca.py
    • DOC Add links to decomposition examples in docstrings and user guide #26932
  • plot_kernel_pca.py
    • DOC Add links to decomposition examples in docstrings and user guide #26932
  • plot_pca_3d.py
    • DOC Add links to decomposition examples in docstrings and user guide #26932
  • plot_pca_iris.py
    • DOC Add links to decomposition examples in docstrings and user guide #26932
  • plot_pca_vs_fa_model_selection.py
    • DOC Add links to decomposition examples in docstrings and user guide #26932
  • plot_pca_vs_lda.py
    • DOC Add links to decomposition examples in docstrings and user guide #26932
    • DOC Linked examples for LDA and QDA in their docstrings (#26927) #28611
  • plot_sparse_coding.py
  • plot_varimax_fa.py

• examples/developing_estimators:

  • sklearn_is_fitted.py: DOC add link to sklearn_is_fitted example in check_is_fitted #26926

• examples/ensemble:

  • plot_adaboost_multiclass.py
    • Added link to plot_adaboost_multiclass.py example #27913
  • plot_adaboost_regression.py
    • Added link to plot_adaboost_regression.py example #28997
  • plot_adaboost_twoclass.py
    • DOC add link to sklearn_example_ensemeble_plot_adboost_twoclass #29023
  • plot_bias_variance.py
  • plot_ensemble_oob.py
  • plot_feature_transformation.py
  • plot_forest_hist_grad_boosting_comparison.py
  • plot_forest_importances_faces.py
  • plot_forest_importances.py
  • plot_forest_iris.py
  • plot_gradient_boosting_categorical.py
  • plot_gradient_boosting_early_stopping.py
    • DOC Add link to Early Stopping example in Gradient Boosting #27025
  • plot_gradient_boosting_oob.py
  • plot_gradient_boosting_quantile.py
  • plot_gradient_boosting_regression.py
    • DOC add link to gradient_boosting_regression in _gp.py #29058
  • plot_gradient_boosting_regularization.py
  • plot_isolation_forest.py
    • DOC add link to plot_isolation_forest.py #26975
  • plot_monotonic_constraints.py
  • plot_random_forest_embedding.py
    • DOC Add link to random tree embedding example in docs #30418
  • plot_random_forest_regression_multioutput.py
  • plot_stack_predictors.py
  • plot_voting_decision_regions.py
  • plot_voting_probas.py
  • plot_voting_regressor.py
    • Add _voting.py file with voting regressor implementation #29724

• examples/exercises:

  • plot_cv_diabetes.py
  • plot_cv_digits.py
    • DOC Add doc link to SVC reference #28073
  • plot_digits_classification_exercise.py
  • plot_iris_exercise.py

• examples/feature_selection:

  • plot_feature_selection_pipeline.py
  • plot_feature_selection.py
  • plot_f_test_vs_mi.py
  • plot_rfe_digits.py
    • DOC Notebook style and enhanced descriptions and add example links for feature_selection.RFE #26950
  • plot_rfe_with_cross_validation.py
  • plot_select_from_model_diabetes.py

• examples/gaussian_process:

  • plot_compare_gpr_krr.py
    • DOC Added example link to Gaussian process regressor #26980
  • plot_gpc_iris.py
  • plot_gpc_isoprobability.py
  • plot_gpc.py
  • plot_gpc_xor.py
  • plot_gpr_co2.py
  • plot_gpr_noisy.py
  • plot_gpr_noisy_targets.py
  • plot_gpr_on_structured_data.py
  • plot_gpr_prior_posterior.py

• examples/impute:

  • plot_iterative_imputer_variants_comparison.py
    • DOC Add missing links to examples/impute #27053
  • plot_missing_values.py
    • DOC Add missing links to examples/impute #27053

• examples/inspection:

  • plot_causal_interpretation.py
  • plot_linear_model_coefficient_interpretation.py
  • plot_partial_dependence.py
    • DOC add link to example in user guide on interaction constraints #27156
  • plot_permutation_importance_multicollinear.py
  • plot_permutation_importance.py

• examples/kernel_approximation:

  • plot_scalable_poly_kernels.py
    • DOC add link to plot_scalable_poly_kernels.py example #27527

• examples/linear_model:

  • plot_ard.py
  • plot_bayesian_ridge_curvefit.py
  • plot_elastic_net_precomputed_gram_matrix_with_weighted_samples.py
    • https://github.com/scikit-learn/scikit-learn/pull/28895/files
  • plot_huber_vs_ridge.py
  • plot_iris_logistic.py
  • plot_lasso_and_elasticnet.py
  • plot_lasso_coordinate_descent_path.py
  • plot_lasso_dense_vs_sparse_data.py
  • plot_lasso_lars_ic.py
  • plot_lasso_lars.py
  • plot_lasso_model_selection.py
  • plot_logistic_l1_l2_sparsity.py
  • plot_logistic_multinomial.py
  • plot_logistic_path.py
  • plot_logistic.py
  • plot_multi_task_lasso_support.py
  • plot_nnls.py
  • plot_ols_3d.py
  • plot_ols.py
  • 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
    • DOC add link to plot_ransac example in _ransac #29636
  • 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_sgdocsvm_vs_ocsvm.py
  • plot_sgd_penalties.py
  • plot_sgd_separating_hyperplane.py
  • plot_sgd_weighted_samples.py
  • plot_sparse_logistic_regression_20newsgroups.py
  • plot_sparse_logistic_regression_mnist.py
  • plot_theilsen.py
  • plot_tweedie_regression_insurance_claims.py

• examples/manifold:

  • plot_compare_methods.py
    • DOC Add link to examples_manifold_plot_compare_methods.py to manifold.MDS docstring #29714
  • plot_lle_digits.py
  • plot_manifold_sphere.py
  • plot_mds.py
    • DOC add link to plot_mds.py example #27599
  • plot_swissroll.py
  • plot_t_sne_perplexity.py

• examples/miscellaneous:

  • plot_anomaly_comparison.py
  • plot_display_object_visualization.py
  • plot_estimator_representation.py
  • plot_isotonic_regression.py
    • DOC linked isotonic regression example to isotonic regression doc #28673
  • plot_johnson_lindenstrauss_bound.py
  • plot_kernel_approximation.py
  • plot_kernel_ridge_regression.py
  • plot_metadata_routing.py
  • plot_multilabel.py
  • plot_multioutput_face_completion.py
  • plot_outlier_detection_bench.py
  • plot_partial_dependence_visualization_api.py
  • plot_pipeline_display.py
  • plot_roc_curve_visualization_api.py
  • plot_set_output.py

• examples/mixture:

  • plot_concentration_prior.py
  • plot_gmm_covariances.py
  • plot_gmm_init.py
  • plot_gmm_pdf.py
  • plot_gmm.py
  • plot_gmm_selection.py
  • plot_gmm_sin.py

• examples/model_selection:

  • plot_confusion_matrix.py
  • plot_cv_indices.py
    • DOC add link to plot_cv_indices example in _split #27244
  • plot_cv_predict.py
  • plot_det.py
  • plot_grid_search_digits.py
  • plot_grid_search_refit_callable.py
  • plot_grid_search_stats.py
  • plot_grid_search_text_feature_extraction.py
  • plot_learning_curve.py
  • plot_likelihood_ratios.py
  • plot_multi_metric_evaluation.py
  • plot_nested_cross_validation_iris.py
    • DOC Add doc link to SVC reference #28073
  • plot_permutation_tests_for_classification.py
  • plot_precision_recall.py
  • plot_randomized_search.py
  • plot_roc_crossval.py
  • plot_roc.py
  • plot_successive_halving_heatmap.py
  • plot_successive_halving_iterations.py
  • plot_train_error_vs_test_error.py
  • plot_underfitting_overfitting.py
  • plot_validation_curve.py

• examples/multioutput:

  • plot_classifier_chain_yeast.py
    • DOC Add link to plot_classifier_chain_yeast example in ClassifierChain #26937

• examples/neighbors:

  • approximate_nearest_neighbors.py
  • plot_caching_nearest_neighbors.py
    • DOC add caching example link to Pipeline class #30421
  • plot_classification.py
    • DOC Add example link to KNeighborsClassifier class #26979
  • plot_digits_kde_sampling.py
  • plot_kde_1d.py
  • plot_lof_novelty_detection.py
  • plot_lof_outlier_detection.py
  • plot_nca_classification.py
  • plot_nca_dim_reduction.py
  • plot_nca_illustration.py
  • plot_nearest_centroid.py
    • DOC add link for NearestCentroid example #28984
  • plot_regression.py
    • DOC Add link to plot_regression.py #29232
  • plot_species_kde.py

• examples/neural_networks:

  • plot_mlp_alpha.py
    • DOC add links to neural network examples #26935
  • plot_mlp_training_curves.py
    • DOC add links to neural network examples #26935
  • plot_mnist_filters.py
    • DOC add links to neural network examples #26935
  • plot_rbm_logistic_classification.py
    • DOC add links to neural network examples #26935

• examples/preprocessing:

  • plot_all_scaling.py
    • DOC Add links to preprocessing examples in docstrings and userguide #26877
  • plot_discretization_classification.py
    • DOC Add links to preprocessing examples in docstrings and userguide #26877
  • plot_discretization.py
    • DOC Add links to preprocessing examples in docstrings and userguide #26877
  • plot_discretization_strategies.py
    • DOC Add links to preprocessing examples in docstrings and userguide #26877
  • plot_map_data_to_normal.py
    • DOC Add links to preprocessing examples in docstrings and userguide #26877
  • plot_scaling_importance.py
    • DOC Add links to preprocessing examples in docstrings and userguide #26877
  • plot_target_encoder_cross_val.py
    • DOC Add links to preprocessing examples in docstrings and userguide #26877
  • plot_target_encoder.py
    • DOC Add links to preprocessing examples in docstrings and userguide #26877

• examples/semi_supervised:

  • plot_label_propagation_digits_active_learning.py
  • plot_label_propagation_digits.py
  • plot_label_propagation_structure.py
  • plot_self_training_varying_threshold.py
  • plot_semi_supervised_newsgroups.py
  • plot_semi_supervised_versus_svm_iris.py

• examples/svm:

  • plot_custom_kernel.py
  • plot_iris_svc.py
  • plot_linearsvc_support_vectors.py
  • plot_oneclass.py
  • plot_rbf_parameters.py
  • plot_separating_hyperplane.py
  • plot_separating_hyperplane_unbalanced.py
  • plot_svm_anova.py
  • plot_svm_kernels.py
    • DOC Notebook style and enhanced descriptions in SVM kernels example #26805
  • plot_svm_margin.py
    • DOC added link to example plot_svm_margin.py #26969
  • plot_svm_nonlinear.py
    • Added example to sklearn.svm.NuSVC #26972
    • DOC remove obsolete SVM example #27108
  • plot_svm_regression.py
  • plot_svm_scale_c.py
    - [ ] DOC Adds Links to plot_svm_scale_c.py Example #28830
  • plot_svm_tie_breaking.py
    • DOC add link to plot_svm_tie_breaking.py in SVC and NuSVC #29976
  • plot_weighted_samples.py

• examples/text:

  • plot_document_classification_20newsgroups.py
    • DOC Add link to text/plot_document_classification_20newsgroups example #26938
  • plot_document_clustering.py
    • DOC Add links to plot_document_clustering example #26951
    • DOC Add links to KMeans examples in docstrings and the user guide #27799
  • plot_hashing_vs_dict_vectorizer.py
    • DOC Add links to text/plot_hashing_vs_dict_vectorizer.py example #26967

• examples/tree:

  • plot_cost_complexity_pruning.py
    • DOC add link to plot_cost_complexity_pruning.py example in DecisionTree, RandomForest and GradientBoostingTrees #29871
  • plot_iris_dtc.py
  • plot_tree_regression_multioutput.py
  • plot_tree_regression.py
    • DOC Add link to plot_tree_regression.py example #26962
  • plot_unveil_tree_structure.py