def generateRecommendation(self):
result = recommendation()
for i in self.itemList:
try:
result.itemList[i] += 1
except KeyError:
result.itemList[i] = 1
return result
def __init__(self):
self.population = []
self.result = recommendation()
self.datasource = None
self.itemsData = None
self.salesData = None
self.categoryData = None
self.fridgeSize = 30
self.populationsize = 100
self.iteration = 50
self.mutation_chance = 0.05
self.crossover_chance = 0.2
def __init__(self):
self.population = []
self.result = recommendation()
self.datasource = None
self.itemsData = None
self.salesData = None
self.categoryData = None
self.fridgeSize = 15
self.populationsize = 100
self.iteration = 200
self.mutation_chance = 0.1
self.crossover_chance = 0.3
self.maximumGroupSize = 10
self.debugData = []
def generateRecommendation(self):
result = recommendation()
for i in self.itemList:
if self.itemList[i] > self.minimumGroupSize:
result.itemList[i] = self.itemList[i]
return result