* 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- Sample snippet in model_evaluation documentation was outdated.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>
* fix#12700 plot_confusion_matrix example breaks down if not all classes are present in the test data
* plot_confusion_matrix: update function call, fix style issues
* remove redundant confusion_matrix call
#### Reference Issues/PRs
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This PR addresses issue #12466.
#### What does this implement/fix? Explain your changes.
This PR does the 3 following things:
- Rewrite the `cv` parameter description in `GridSearchCV`
- Link the new `CV splitter` description to an existing example
- Add an example with a custom iterable
Thanks for reviewing this!
Close#12466
* Support minimal dependencies in examples
* bins="auto" only supported for numpy >= 1.11
* viridis is default cmap in matplotlib 2
* Use signature instead of viridis cmap
Daniel Mohns
Hanmin Qin