Thank you @Olivier, your explanation is elaborate and complete. :)
On 9/22/2013 9:20 PM, Olivier Grisel wrote: > Just run: > > $ nosetests --with-coverage > > And consider only the lines related to your module in the report. > > Offcourse you can always run a specific test and see how it covers > your module as well: > > $ nosetests --with-coverage sklearn/ensemble/tests/test_gradient_boosting.py > > Under unix systems (like Mac or Linux) you can directly grep from the > console report to filter it out: > > $ nosetests --with-coverage > sklearn/ensemble/tests/test_gradient_boosting.py 2>&1 | grep > sklearn.ensemble.gradient_boosting > sklearn.ensemble.gradient_boosting 404 13 > 97% 56, 85, 191, 218, 531, 536, 541-543, 546, 557, 671, 774-775 > > Also useful: when you run the tests with the `--with-coverage` flag, > an HTML report is generated in the `coverage` folder. You can open the > HTML file for you module of interest to see the annotated code with a > red background for the lines that miss coverage. In the previous case > the file for the gradient boosted module is: > > coverage/sklearn_ensemble_gradient_boosting.html > ------------------------------------------------------------------------------ LIMITED TIME SALE - Full Year of Microsoft Training For Just $49.99! 1,500+ hours of tutorials including VisualStudio 2012, Windows 8, SharePoint 2013, SQL 2012, MVC 4, more. BEST VALUE: New Multi-Library Power Pack includes Mobile, Cloud, Java, and UX Design. Lowest price ever! Ends 9/20/13. http://pubads.g.doubleclick.net/gampad/clk?id=58041151&iu=/4140/ostg.clktrk _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
