Update pyriemann_qiskit/classification.py

Co-authored-by: Quentin Barthélemy <[email protected]>

pyriemann_qiskit/classification.py

@@ -870,10 +870,11 @@ class NearestConvexHull(BaseEstimator, ClassifierMixin, TransformerMixin):
         all samples per class. If subsampling is "full", this
         parameter is defaulted to -1.
     subsampling : {"min", "random", "full"}, default="min"
-        Subsampling strategy of training set to estimate distance to hulls.
-        "min" estimates hull using the n_samples_per_hull closest matrices.
-        "random" estimates hull using n_samples_per_hull random matrices.
-        "full" computes the hull on the entire training points, as in [1]_.
+        Subsampling strategy of training set to estimate distance to hulls:
+
+        - "min" estimates hull using the n_samples_per_hull closest matrices;
+        - "random" estimates hull using n_samples_per_hull random matrices;
+        - "full" estimates the hull using the entire training matrices, as in [1]_.
     seed : float, default=None
         Optional random seed to use when subsampling is set to `random`.