Commit 365141af authored by Georgios Dagkakis's avatar Georgios Dagkakis

method remove from plugin since it can be inherited

parent 2b8b4f07
...@@ -53,13 +53,3 @@ class DefaultTabularExit(plugin.OutputPreparationPlugin): ...@@ -53,13 +53,3 @@ class DefaultTabularExit(plugin.OutputPreparationPlugin):
round(float(lifespan['ub']),2) round(float(lifespan['ub']),2)
]) ])
return data return data
def getConfidenceInterval(self, 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)
}
\ No newline at end of file
...@@ -33,7 +33,7 @@ class Plugin(object): ...@@ -33,7 +33,7 @@ class Plugin(object):
successors.append(edge['destination']) successors.append(edge['destination'])
return successors return successors
# calcualted the confidence inteval for a list and a confidence level # calculate the confidence interval for a list and a confidence level
def getConfidenceInterval(self, value_list, confidenceLevel): def getConfidenceInterval(self, value_list, confidenceLevel):
from dream.KnowledgeExtraction.ConfidenceIntervals import ConfidenceIntervals from dream.KnowledgeExtraction.ConfidenceIntervals import ConfidenceIntervals
from dream.KnowledgeExtraction.StatisticalMeasures import StatisticalMeasures from dream.KnowledgeExtraction.StatisticalMeasures import StatisticalMeasures
......
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