add scatter correction as a random search param to be evaluate

mu_map/random_search/eval/params.py

@@ -114,6 +114,9 @@ parameter_groups = {
     "learning_rate_decay": ParameterGroups(
         groups={"Decay": True, "No Decay": False}, keys=["lr_decay"]
     ),
+    "scatter_correction": ParameterGroups(
+        groups={"With": True, "Without": False}, keys=["scatter_correction"]
+    ),
 }
 
 
@@ -122,7 +125,7 @@ def plot_param_groups(
     param_groups: ParameterGroups,
     measure: str = "NMAE",
     colors: ColorList = color_lists["printer_friendly"],
-    ax: mlp.axes.Axes =  None,
+    ax: mlp.axes.Axes = None,
 ):
     """
     Create a plot to visually compare all manifestations of a parameter.