Commit f84b21c5 authored by panos's avatar panos

Bugs fixed in the main script

parent 0d2afafb
......@@ -23,12 +23,12 @@ Created on 17 Apr 2015
# ===========================================================================
from __future__ import division
from dream.KnowledgeExtraction.StatisticalMeasures import BasicStatisticalMeasures
from dream.KnowledgeExtraction.StatisticalMeasures import StatisticalMeasures
from dream.KnowledgeExtraction.DistributionFitting import Distributions
from dream.KnowledgeExtraction.DistributionFitting import DistFittest
from dream.KnowledgeExtraction.ReplaceMissingValues import HandleMissingValues
from dream.KnowledgeExtraction.ReplaceMissingValues import ReplaceMissingValues
from dream.KnowledgeExtraction.ImportDatabase import ConnectionData
from dream.KnowledgeExtraction.DetectOutliers import HandleOutliers
from dream.KnowledgeExtraction.DetectOutliers import DetectOutliers
from JSONOutput import JSONOutput
from dream.KnowledgeExtraction.CMSDOutput import CMSDOutput
from xml.etree import ElementTree as et
......@@ -267,7 +267,7 @@ for key in processStory.keys():
continue
#Call the HandleMissingValues object and delete the missing values in the lists with the scrap quantity and processing times data
B= HandleMissingValues()
B= ReplaceMissingValues()
MA_Scrap= B.DeleteMissingValue(MA.get('ScrapQuant',[]))
MA_Proc= B.DeleteMissingValue(MA.get('ProcTime',[]))
M1A_Scrap= B.DeleteMissingValue(M1A.get('ScrapQuant',[]))
......@@ -299,7 +299,7 @@ Pb_Scrap= B.DeleteMissingValue(Pb.get('ScrapQuant',[]))
Pb_Proc= B.DeleteMissingValue(Pb.get('ProcTime',[]))
#Call the HandleOutliers object and delete the outliers in the lists with the processing times data of each station
C= HandleOutliers()
C= DetectOutliers()
MA_Proc= C.DeleteOutliers(MA_Proc)
M1A_Proc= C.DeleteOutliers(M1A_Proc)
M1B_Proc= C.DeleteOutliers(M1B_Proc)
......
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