def main():
games, users, rec = loadSystem()
user_list = users['user_id'].unique().tolist()
gui = GUI()
def Recommend(user_input):
user_id = int(user_input)
print("Recommending for {0}".format(user_id))
recommendations = rec.recommend(user_id)
print("Done!")
gui.resultWindow(recommendations)
gui.mainWindow(choice_list=user_list, menu_button_action=Recommend)
# Running application
# main()
# Running evaluation
dt = Data()
rec = RecSys(dt.games, dt.users, top_n=10,
models={'collab': 0.4, 'tags': 0.5, 'price': 0.1})
eval = Evaluator(rec)
eval.evaluate()
eval.report()
def getCluster(data):
global label
cluster = []
for i in range(label):
cluster.append([])
for i in range(len(data.data)):
cluster[data.data[i].label].append(data.data[i])
return cluster
def DbScanRun(data, eps, minPts):
global label
begin = clock()
label = 1
data = makePoint(data, eps, minPts)
data = merge(data, eps)
end = clock()
cluster = getCluster(data)
ev = Evaluate()
ev.EvaluateRun(data, cluster)
print("number of cluster:%d" % (label))
print("purity is %f" % (ev.purity))
print("FScore is %f" % (ev.FScore))
print("time used: %d s" % (end - begin))
if __name__ == '__main__':
data = Data()
DbScanRun(data, 4, 5)