Little refactor: Changed method name to get_unique_value()

primo/reasoning/Evidence.py

@@ -16,7 +16,7 @@ class Evidence(object):
         '''
         raise Exception("Not defined for this kind of Evidence")
         
-    def get_unambigous_value(self):
+    def get_unique_value(self):
         '''
         Sometimes only one value of some domain is compatible with the evidence.
         This is obviously the case for EvidenceEqual. It is then possible to
@@ -38,7 +38,7 @@ class EvidenceEqual(Evidence):
     def is_compatible(self, value):
         return self.value==value
         
-    def get_unambigous_value(self):
+    def get_unique_value(self):
         return self.value
         
 class EvidenceIntervall(Evidence):

primo/reasoning/MCMC.py

@@ -120,7 +120,7 @@ class MCMC(object):
         state={}
         for var in self.bn.get_nodes_in_topological_sort():
             if var in evidence.keys():
-                value=evidence[var].get_unambigous_value()
+                value=evidence[var].get_unique_value()
                 if value == None:
                     value=var.sample_global(state)
                 state[var]=value

primo/reasoning/MarkovChainSampler.py

@@ -33,7 +33,7 @@ class GibbsTransitionModel(object):
             Dict from Node to Evidence.
         '''
         nodes = network.get_nodes([])
-        nodes_to_resample=[n for n in nodes if not n in extern_evidence.keys() or extern_evidence[n].get_unambigous_value() == None]
+        nodes_to_resample=[n for n in nodes if not n in extern_evidence.keys() or extern_evidence[n].get_unique_value() == None]
 
         for node in nodes_to_resample:
             parents=network.get_parents(node)
@@ -97,7 +97,7 @@ class MetropolisHastingsTransitionModel(object):
             Dict from Node to Evidence.
         '''
         nodes = network.get_nodes([])
-        nodes_to_resample=[n for n in nodes if not n in extern_evidence.keys() or extern_evidence[n].get_unambigous_value() == None]
+        nodes_to_resample=[n for n in nodes if not n in extern_evidence.keys() or extern_evidence[n].get_unique_value() == None]
         for node in nodes_to_resample:
             #propose a new value for this variable:
             current_value = state[node]