[SPRINT] Shorten links to estimators in docs

In the docs, writing :class:`sklearn.preprocessing.StandardScaler` will be rendered as sklearn.preprocessing.StandardScaler. To make it shorter, we can prefix with a ~ i.e. :class:`~sklearn.preprocessing.StandardScaler` which will be rendered as StandardScaler.

Here are the files that could benefit from such changes:

• doc/datasets/index.rst
• doc/developers/contributing.rst
• doc/developers/utilities.rst
• doc/faq.rst
• doc/modules/compose.rst
• doc/modules/computing.rst
• doc/modules/density.rst
• doc/modules/feature_extraction.rst
• doc/modules/feature_selection.rst
• doc/modules/manifold.rst
• doc/modules/metrics.rst
• doc/modules/multiclass.rst
• doc/modules/neighbors.rst
• doc/modules/preprocessing.rst
• doc/modules/random_projection.rst
• doc/modules/svm.rst
• doc/related_projects.rst
• doc/whats_new/older_versions.rst
• doc/whats_new/v0.13.rst (let’s leave these alone)
• doc/whats_new/v0.14.rst
• doc/whats_new/v0.15.rst
• doc/whats_new/v0.16.rst
• doc/whats_new/v0.18.rst
• doc/whats_new/v0.20.rst
• doc/whats_new/v0.21.rst
• examples/applications/plot_species_distribution_modeling.py
• examples/applications/plot_tomography_l1_reconstruction.py
• examples/applications/plot_topics_extraction_with_nmf_lda.py
• examples/cluster/plot_optics.py
• examples/compose/plot_column_transformer_mixed_types.py
• examples/covariance/plot_covariance_estimation.py
• examples/decomposition/plot_beta_divergence.py
• examples/decomposition/plot_sparse_coding.py
• examples/ensemble/plot_gradient_boosting_early_stopping.py
• examples/ensemble/plot_gradient_boosting_regression.py
• examples/ensemble/plot_isolation_forest.py
• examples/ensemble/plot_stack_predictors.py
• examples/impute/plot_iterative_imputer_variants_comparison.py
• examples/impute/plot_missing_values.py
• examples/linear_model/plot_sgd_early_stopping.py
• examples/linear_model/plot_sgd_loss_functions.py
• examples/miscellaneous/plot_anomaly_comparison.py
• examples/miscellaneous/plot_kernel_approximation.py
• examples/miscellaneous/plot_multilabel.py
• examples/model_selection/plot_grid_search_digits.py
• examples/neighbors/plot_kde_1d.py
• sklearn/calibration.py
• sklearn/cluster/_optics.py
• sklearn/datasets/_twenty_newsgroups.py
• sklearn/datasets/descr/twenty_newsgroups.rst
• sklearn/experimental/enable_hist_gradient_boosting.py
• sklearn/experimental/enable_iterative_imputer.py
• sklearn/feature_extraction/_dict_vectorizer.py
• sklearn/feature_selection/_from_model.py
• sklearn/feature_selection/_rfe.py
• sklearn/impute/_base.py
• sklearn/impute/_iterative.py
• sklearn/impute/_knn.py
• sklearn/kernel_ridge.py
• sklearn/linear_model/_base.py
• sklearn/linear_model/_bayes.py
• sklearn/linear_model/_coordinate_descent.py
• sklearn/linear_model/_least_angle.py
• sklearn/linear_model/_omp.py
• sklearn/linear_model/_ridge.py
• sklearn/linear_model/_stochastic_gradient.py
• sklearn/metrics/_scorer.py
• sklearn/neighbors/_kde.py
• sklearn/preprocessing/_data.py
• sklearn/preprocessing/_discretization.py
• sklearn/preprocessing/_encoders.py
• sklearn/svm/_classes.py

To see the occurrences on a given file, use e.g.

git grep -n ":class:\`sklearn" sklearn/linear_model/_coordinate_descent.py

Please comment below to indicate which file(s) you want to work on with e.g. “I’m working on linear_model/_coordinate_descent.py” so that others don’t pick the same files

[marenwestermann]

I’ll work on that.

[NicolasHug]

Thanks for your PRs @marenwestermann (and everyone else!)

I’ll close the issue. There seem to be one last left which we didn’t catch in examples/inspection/plot_partial_dependence.py, if you wanna give it a go