fix doc loss and codacy

pina/loss/weighting_interface.py

@@ -1,14 +1,18 @@
-"""Module for Loss Interface"""
+"""Module for the Weighting Interface"""
 
 from abc import ABCMeta, abstractmethod
 
 
 class WeightingInterface(metaclass=ABCMeta):
     """
-    The ``weightingInterface`` class. TODO
+    Abstract base class for all loss weighting schemas. All weighting schemas
+    should inherit from this class.
     """
 
     def __init__(self):
+        """
+        Initialization of the :class:`WeightingInterface` class.
+        """
         self.condition_names = None
 
     @abstractmethod
@@ -16,7 +20,5 @@ class WeightingInterface(metaclass=ABCMeta):
         """
         Aggregate the losses.
 
-        :param dict(torch.Tensor) input: The dictionary of losses.
-        :return: The losses aggregation. It should be a scalar Tensor.
-        :rtype: torch.Tensor
+        :param dict losses: The dictionary of losses.
         """