41d648ef88
* Initial add DET curve to classification metrics * Add DET to exports * Fix DET-curve doctest errors - Sample snippet in model_evaluation documentation was outdated. * Clarify wording in DET-curve computation - Align to the wording of ranking module to make it consistent. - Add correct describtion of input and outputs. - Update and fix non-existent links * Beautify DET curve documentation source - Limit line length to 80 characters. * Expand DET curve documentation - Add an example plot to show difference between ROC and DET curves. - Expand Usage Note section with background information and properties of DET curves. * Update DET-curve documentation - Fix typos and some grammar improvements. - Use named references to avoid potential conflicts with other sections. - Remove unneeded references and improved existing ones by using e.g. using versioned links. * Select relevant DET points using slice object * Remove some dubiety from DET curve doc-string * Add DET curve contributors * Add tests for DET curves * Streamline DET test by using parametrization * Increase verbosity of DET curve error handling - Explicitly sanity check input before computing a DET curve. - Add test for perfect scores. - Adapt indentation style to match the test module. * Add reference for DET curves in invariance test * Add automated invariance checks for DET curves * Resolve merge artifacts * Make doctest happy * Fix whitespaces for doctest * Revert unintended whitespace changes * Revert unintended white space changes #2 * Fix typos and grammar * Fix white space in doc * Streamline test code * Remove rebase artifacts * Fix PR link in doc * Fix test_ranking * Fix rebase errors * Fix import * Bring back newlines - Swallowed by copy/paste * Remove uncited ref link * Remove matplotlib deprecation warning * Bring back hidden reference * Add motivation to DET example * Fix lint * Add citation * Use modern matplotlib API Co-authored-by: Jeremy Karnowski <jeremy.karnowski@gmail.com> Co-authored-by: Julien Cornebise <julien@cornebise.com> Co-authored-by: Daniel Mohns <daniel.mohns@zenguard.org> |
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| .. | ||
| README.txt | ||
| grid_search_text_feature_extraction.py | ||
| plot_confusion_matrix.py | ||
| plot_cv_indices.py | ||
| plot_cv_predict.py | ||
| plot_det.py | ||
| plot_grid_search_digits.py | ||
| plot_grid_search_refit_callable.py | ||
| plot_learning_curve.py | ||
| plot_multi_metric_evaluation.py | ||
| plot_nested_cross_validation_iris.py | ||
| plot_precision_recall.py | ||
| plot_randomized_search.py | ||
| plot_roc.py | ||
| plot_roc_crossval.py | ||
| plot_train_error_vs_test_error.py | ||
| plot_underfitting_overfitting.py | ||
| plot_validation_curve.py | ||
README.txt
.. _model_selection_examples: Model Selection ----------------------- Examples related to the :mod:`sklearn.model_selection` module.