Improvement of NCH

benchmarks/light_benchmark.py

@@ -27,6 +27,7 @@
     QuantumClassifierWithDefaultRiemannianPipeline,
     QuantumMDMWithRiemannianPipeline,
 )
+from pyriemann_qiskit.classification import QuanticNCH
 import warnings
 import sys
 
@@ -102,6 +103,22 @@
     LDA(solver="lsqr", shrinkage="auto"),
 )
 
+pipelines["NCH+MIN_HULL"] = make_pipeline(
+    XdawnCovariances(
+        nfilter=3,
+        # classes=[labels_dict["Target"]],
+        estimator="lwf",
+        xdawn_estimator="scm",
+    ),
+    QuanticNCH(
+        n_hulls_per_class=1,
+        n_samples_per_hull=3,
+        n_jobs=12,
+        subsampling="min",
+        quantum=False,
+    ),
+)
+
 ##############################################################################
 # Compute score
 # --------------

doc/api.rst

@@ -53,7 +53,7 @@ Utils functions are low level functions for the `classification` and `pipelines`
 
 Utils
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
-.. _hyper_params_factory_api:
+.. _utils_api:
 .. currentmodule:: pyriemann_qiskit.utils.utils
 
 .. autosummary::

examples/ERP/classify_P300_nch.py

@@ -19,17 +19,19 @@
 # Modified from plot_classify_EEG_tangentspace.py of pyRiemann
 # License: BSD (3-clause)
 
-from pyriemann.estimation import XdawnCovariances
-from sklearn.pipeline import make_pipeline
-from matplotlib import pyplot as plt
 import warnings
-import seaborn as sns
+
+from matplotlib import pyplot as plt
 from moabb import set_log_level
 from moabb.datasets import bi2013a
 from moabb.evaluations import WithinSessionEvaluation
 from moabb.paradigms import P300
-from pyriemann_qiskit.classification import QuanticNCH
 from pyriemann.classification import MDM
+from pyriemann.estimation import XdawnCovariances
+import seaborn as sns
+from sklearn.pipeline import make_pipeline
+
+from pyriemann_qiskit.classification import QuanticNCH
 
 print(__doc__)
 
@@ -80,7 +82,7 @@
         n_hulls_per_class=1,
         n_samples_per_hull=3,
         n_jobs=12,
-        hull_type="random-hull",
+        subsampling="random",
         quantum=False,
     ),
 )
@@ -97,7 +99,7 @@
         n_hulls_per_class=1,
         n_samples_per_hull=3,
         n_jobs=12,
-        hull_type="min-hull",
+        subsampling="min",
         quantum=False,
     ),
 )