Repository: torcheeg/torcheeg (language: python)

Issue:
Merge classification metrics and updated workflows



Discussion / hints:

Fix patch:
diff --git a/README.md b/README.md
index 13116b9..d37f9ae 100644
--- a/README.md
+++ b/README.md
@@ -300,6 +300,30 @@ If you would like to contribute new datasets, deep learning methods, and extensi
 
 ## Thanks for the contributors
 <!-- readme: collaborators,contributors -start -->
+<table>
+<tr>
+    <td align="center">
+        <a href="https://github.com/tczhangzhi">
+            <img src="https://avatars.githubusercontent.com/u/14837418?v=4" width="100;" alt="tczhangzhi"/>
+            <br />
+            <sub><b>ZHANG Zhi</b></sub>
+        </a>
+    </td>
+    <td align="center">
+        <a href="https://github.com/talhaanwarch">
+            <img src="https://avatars.githubusercontent.com/u/37379131?v=4" width="100;" alt="talhaanwarch"/>
+            <br />
+            <sub><b>Talha Anwar</b></sub>
+        </a>
+    </td>
+    <td align="center">
+        <a href="https://github.com/gitter-badger">
+            <img src="https://avatars.githubusercontent.com/u/8518239?v=4" width="100;" alt="gitter-badger"/>
+            <br />
+            <sub><b>The Gitter Badger</b></sub>
+        </a>
+    </td></tr>
+</table>
 <!-- readme: collaborators,contributors -end -->
 
 ## License


Test patch:
diff --git a/test/datasets/test_mne.py b/test/datasets/test_mne.py
index 2885971..06260e1 100644
--- a/test/datasets/test_mne.py
+++ b/test/datasets/test_mne.py
@@ -15,8 +15,8 @@ def setUp(self):
         shutil.rmtree('./tmp_out/')
         os.mkdir('./tmp_out/')
 
-    def test_numpy_constructor(self):
-        io_path = f'./tmp_out/numpy_{"".join(random.sample("zyxwvutsrqponmlkjihgfedcba", 20))}'
+    def test_mne_constructor(self):
+        io_path = f'./tmp_out/mne_{"".join(random.sample("zyxwvutsrqponmlkjihgfedcba", 20))}'
 
         metadata_list = [{
             'subject': 1,
@@ -48,8 +48,8 @@ def test_numpy_constructor(self):
             epochs_list.append(mne.Epochs(raw, events, picks=picks))
         mne_constructor(epochs_list, metadata_list, io_path=io_path, num_worker=0)
 
-    def test_numpy_dataset(self):
-        io_path = f'./tmp_out/numpy_{"".join(random.sample("zyxwvutsrqponmlkjihgfedcba", 20))}'
+    def test_mne_dataset(self):
+        io_path = f'./tmp_out/mne_{"".join(random.sample("zyxwvutsrqponmlkjihgfedcba", 20))}'
 
         metadata_list = [{
             'subject': 1,