imports from KE updated to new names

dream/plugins/DefaultTabularExit.py

@@ -55,10 +55,10 @@ class DefaultTabularExit(plugin.OutputPreparationPlugin):
         return data
     
     def getConfidenceInterval(self, value_list, confidenceLevel):
-        from dream.KnowledgeExtraction.ConfidenceIntervals import Intervals
-        from dream.KnowledgeExtraction.StatisticalMeasures import BasicStatisticalMeasures
-        BSM=BasicStatisticalMeasures()
-        lb, ub = Intervals().ConfidIntervals(value_list, confidenceLevel)
+        from dream.KnowledgeExtraction.ConfidenceIntervals import ConfidenceIntervals
+        from dream.KnowledgeExtraction.StatisticalMeasures import StatisticalMeasures
+        BSM=StatisticalMeasures()
+        lb, ub = ConfidenceIntervals().ConfidIntervals(value_list, confidenceLevel)
         return {'lb': lb,
                 'ub': ub,
                 'avg': BSM.mean(value_list) 

dream/plugins/plugin.py

@@ -35,10 +35,10 @@ class Plugin(object):
 
   # calcualted the confidence inteval for a list and a confidence level
   def getConfidenceInterval(self, value_list, confidenceLevel):
-    from dream.KnowledgeExtraction.ConfidenceIntervals import Intervals
-    from dream.KnowledgeExtraction.StatisticalMeasures import BasicStatisticalMeasures
-    BSM=BasicStatisticalMeasures()
-    lb, ub = Intervals().ConfidIntervals(value_list, confidenceLevel)
+    from dream.KnowledgeExtraction.ConfidenceIntervals import ConfidenceIntervals
+    from dream.KnowledgeExtraction.StatisticalMeasures import StatisticalMeasures
+    BSM=StatisticalMeasures()
+    lb, ub = ConfidenceIntervals().ConfidIntervals(value_list, confidenceLevel)
     return {'lb': lb,
             'ub': ub,
             'avg': BSM.mean(value_list)