Improvement of NCH

examples/ERP/classify_P300_nch.py

@@ -80,7 +80,7 @@
         n_hulls_per_class=1,
         n_samples_per_hull=3,
         n_jobs=12,
-        hull_type="random-hull",
+        subsampling="random",
         quantum=False,
     ),
 )
@@ -97,7 +97,7 @@
         n_hulls_per_class=1,
         n_samples_per_hull=3,
         n_jobs=12,
-        hull_type="min-hull",
+        subsampling="min",
         quantum=False,
     ),
 )

pyriemann_qiskit/classification.py

@@ -902,7 +902,7 @@ def _predict_distances(self, X):
         elif self.subsampling == "random":
             self._process_sample = self._process_sample_random_hull
         else:
-            raise Exception("Error: Unknown subsampling type.")
+            raise ValueError(f"Unknown subsampling type {self.subsampling}.")
 
         parallel = self.n_jobs > 1
 
@@ -922,6 +922,8 @@ def _predict_distances(self, X):
                 dist = self._process_sample(x)
                 dists.append(dist)
 
+        dists = np.concatenate(dists, axis=1)
+
         return dists
 
     def predict(self, X):