stashed

README.md

@@ -40,6 +40,14 @@ pip install -e .
 ```
 In the `summit` directory to install SuMMIT and its dependencies.
 
+### Running the tests
+
+To run the test suite of SuMMIT, run :
+```
+cd path/to/summit
+pytest
+```
+
 ### Running on simulated data
 
 In order to run it you'll need to try on **simulated** data with the command

multiview-machine-learning-omis.iml

-<?xml version="1.0" encoding="UTF-8"?>
-<module type="WEB_MODULE" version="4">
-  <component name="NewModuleRootManager">
-    <content url="file://$MODULE_DIR$" />
-    <orderEntry type="jdk" jdkName="Python 3.6 (develop)" jdkType="Python SDK" />
-    <orderEntry type="sourceFolder" forTests="false" />
-    <orderEntry type="module" module-name="multiview_generator" />
-    <orderEntry type="module" module-name="short_projects" />
-    <orderEntry type="library" name="R User Library" level="project" />
-    <orderEntry type="library" name="R Skeletons" level="application" />
-    <orderEntry type="module" module-name="Datasets" />
-    <orderEntry type="module" module-name="scikit-multimodallearn" />
-    <orderEntry type="module" module-name="lives_dataset" />
-  </component>
-</module>
\ No newline at end of file

multiview_platform/mono_multi_view_classifiers/exec_classif.py

@@ -788,8 +788,7 @@ def exec_classif(arguments):  # pragma: no cover
                            for metric_name in metrics_names)
         metrics = arange_metrics(metrics, args["metric_princ"])
 
-        benchmark = init_benchmark(cl_type, monoview_algos, multiview_algos,
-                                   args)
+        benchmark = init_benchmark(cl_type, monoview_algos, multiview_algos,)
         init_kwargs = init_kwargs_func(args, benchmark)
         data_base_time = time.time() - start
         argument_dictionaries = init_argument_dictionaries(