added __eq__ fct to compare different module.

examples/logistic_regression.py

@@ -20,15 +20,15 @@ class LogisticRegressionN(module.FancyModule):
             self.b = rng.randn(n_out)
             self.lr = 0.01
             self.__hide__ = ['params']
-#         def __eq__(self, other):
-#             if not isinstance(other.component, LogisticRegressionN) and not isinstance(other.component, LogisticRegression2):
-#                 raise NotImplemented
-#         #we compare the member.
-#             if (N.abs(self.w-other.w)<1e-8).all() and (N.abs(self.b-other.b)<1e-8).all() and self.stepsize == other.stepsize:
-#                 return True
-#             return False
-#         def __hash__(self):
-#             raise NotImplemented
+        def __eq__(self, other):
+            if not isinstance(other.component, LogisticRegressionN) and not isinstance(other.component, LogisticRegression2):
+                raise NotImplemented
+         #we compare the member.
+            if (N.abs(self.w-other.w)<1e-8).all() and (N.abs(self.b-other.b)<1e-8).all() and self.lr == other.lr:
+                return True
+            return False
+        def __hash__(self):
+            raise NotImplemented
 
     def __init__(self, x = None, targ = None):
         super(LogisticRegressionN, self).__init__() #boilerplate
@@ -67,7 +67,16 @@ class LogisticRegression2(module.FancyModule):
             self.b = rng.randn(1)
             self.lr = 0.01
             self.__hide__ = ['params']
-            
+        def __eq__(self, other):
+            if not isinstance(other.component, LogisticRegressionN) and not isinstance(other.component, LogisticRegression2):
+                raise NotImplemented
+         #we compare the member.
+            if (N.abs(self.w-other.w)<1e-8).all() and (N.abs(self.b-other.b)<1e-8).all() and self.lr == other.lr:
+                return True
+            return False
+        def __hash__(self):
+            raise NotImplemented 
+
     def __init__(self, x = None, targ = None):
         super(LogisticRegression2, self).__init__() #boilerplate