Updated doctrings

Author: Tanguy Damart

bluepyopt/deapext/CMA_MO.py

@@ -85,6 +85,10 @@ def __init__(self,
             sigma (float): initial standard deviation of the distribution
             max_ngen (int): total number of generation to run
             IndCreator (fcn): function returning an individual of the pop
+            weight_hv (float): between 0 and 1. Weight given to the 
+                hypervolume contribution when computing the score of an 
+                individual in MO-CMA. The weight of the fitness contribution
+                is computed as 1 - weight_hv.
         """
 
         if offspring_size is None:

bluepyopt/deapext/optimisationsCMA.py

@@ -72,6 +72,10 @@ def __init__(self,
             selector_name (str): The selector used in the evolutionary
                 algorithm, possible values are 'single_objective' or
                 'multi_objective'
+            weight_hv (float): between 0 and 1. Weight given to the 
+                hypervolume contribution when computing the score of an 
+                individual in MO-CMA. The weight of the fitness contribution
+                is computed as 1 - weight_hv.
             fitness_reduce (fcn): function used to reduce the objective values
                 to a single fitness score
         """
@@ -90,6 +94,9 @@ def __init__(self,
         self.offspring_size = offspring_size
         self.centroids = centroids
         self.sigma = sigma
+
+        if weight_hv > 1. or weight_hv < 0.:
+            raise Exception("weight_hv has to be between 0 and 1.")
         self.weight_hv = weight_hv
 
         self.selector_name = selector_name