badge

.gitlab-ci.yml

@@ -6,6 +6,10 @@ tests:
     script:
         - pip3 install -e . --no-deps
         - pytest-3
+    coverage: '/^TOTAL.+?(\d+\%)$/'
+    artifacts:
+        paths:
+            - htmlcov/
 
 # generate the documentation
 doc:

README.md

 [![License: GPL v3](https://img.shields.io/badge/License-GPL%20v3-blue.svg)](http://www.gnu.org/licenses/gpl-3.0)
 [![Build Status](https://gitlab.lis-lab.fr/baptiste.bauvin/summit/badges/develop/pipeline.svg)](https://gitlab.lis-lab.fr/baptiste.bauvin/summit/badges/develop/pipeline.svg)
+[![Coverage Report](https://gitlab.lis-lab.fr/baptiste.bauvin/summit/badges/master/coverage.svg)](https://gitlab.lis-lab.fr/dev/scikit-multimodallearn/badges/master)
 # Supervised MultiModal Integration Tool's Readme
 
 This project aims to be an easy-to-use solution to run a prior benchmark on a dataset and evaluate mono- & multi-view algorithms capacity to classify it correctly.