dataFrame.to_csv(nameFileExport2, index=False)
#generamos el proceso estadisitico
summaryObject = summaryScanProcess.summaryProcessClusteringScan(nameFileExport, pathResponse, ['Accuracy', 'Recall', 'Precision', 'F1'])
summaryObject.createHistogram()
summaryObject.createRankingFile()
finishTime = time.time() - start_time
termino = datetime.datetime.now()
dictionary = {}
dictionary.update({"inicio": str(inicio)})
dictionary.update({"termino": str(termino)})
dictionary.update({"ejecucion": finishTime})
dictionary.update({"iteracionesCorrectas": iteracionesCorrectas})
dictionary.update({"iteracionesIncorrectas": iteracionesIncorrectas})
dictionary.update({"performanceSelected": args.performance})
#agrego la informacion de los mejores modelos para cada medida de desempeno
processModels = processParamsDict.processParams(pathResponse, ['Accuracy', 'Recall', 'Precision', 'F1'])
processModels.getBestModels()
dictionary.update({"modelSelecetd":processModels.listModels})
nameFileExport = "%ssummaryProcess.json" % (pathResponse)
with open(nameFileExport, 'w') as fp:
json.dump(dictionary, fp)
else:
print "Data set input not exist, please check the input for name file data set"
else:
print "Path result not exist, please check input for path result"
summaryObject.createRankingFile()
finishTime = time.time() - start_time
termino = datetime.datetime.now()
dictionary = {}
dictionary.update({"inicio": str(inicio)})
dictionary.update({"termino": str(termino)})
dictionary.update({"ejecucion": finishTime})
dictionary.update({"iteracionesCorrectas": iteracionesCorrectas})
dictionary.update(
{"iteracionesIncorrectas": iteracionesIncorrectas})
dictionary.update({"performanceSelected": args.performance})
#agrego la informacion de los mejores modelos para cada medida de desempeno
processModels = processParamsDict.processParams(
pathResponse, ['R_Score', 'Pearson', 'Spearman', 'Kendalltau'])
processModels.getBestModels()
dictionary.update({"modelSelecetd": processModels.listModels})
nameFileExport = "%ssummaryProcess.json" % (pathResponse)
with open(nameFileExport, 'w') as fp:
json.dump(dictionary, fp)
except:
print "Error during exec algorithm"
else:
print "Data set input not exist, please check the input for name file data set"
else:
print "Path result not exist, please check input for path result"