Synthetic utility database generator

#import the algorithm
from PAMI.extras.syntheticDataGenerator import utilityDatabase as udb

#specify the parameters
databaseSize = 100000
numberOfItems = 2000
averageLengthOfTransaction = 10

minimumInternalUtilityValue = 1
maximumInternalUtilityValue = 100

minimumExternalUtilityValue = 1
maximumExternalUtilityValue = 10


#initialize the algorithm
alg = udb.utilityDatabase(databaseSize, numberOfItems, \
                        averageLengthOfTransaction,\
                        minimumInternalUtilityValue,\
                        maximumInternalUtilityValue,\
                        minimumExternalUtilityValue,\
                        maximumExternalUtilityValue)

#execute the algorithm
alg.generate()

#save the generated data in a file
alg.save(fileName1)
alg.saveItemsInternalUtilityValues(fileName2)
alg.saveItemsExternalUtilityValues(fileName3)

#Get the generated data as a dataframe (Optional feature)
utilityDF = alg.getUtilityData()
internalUDF = alg.getInternalUtilityData()
externalUDF = alg.getExternalUtilityData()