Python bin_mapping示例

示例#1

文件： main.py 项目： Cloudxtreme/fanduel-2

def build_pWins_vs_topwins_dict(bin_size):
    hist_performance = build_hist_win_tuples()
    Pwins_dict = {}
    for x, y in hist_performance:
        try:
            Pwins_dict[Ugen.bin_mapping(x, bin_size)].append(y)
        except KeyError:
            Pwins_dict[Ugen.bin_mapping(x, bin_size)] = [y]
    for key, win_data in Pwins_dict.iteritems():
        Pwins_dict[key].append(numpy.mean(numpy.array(win_data)))
    return Pwins_dict

示例#2

文件： main.py 项目： emschorsch/fanduel

def build_pWins_vs_topwins_dict(bin_size):
	hist_performance = build_hist_win_tuples()
	Pwins_dict = {}
	for x,y in hist_performance:
		try: 
			Pwins_dict[Ugen.bin_mapping(x,bin_size)].append(y)
		except KeyError:
			Pwins_dict[Ugen.bin_mapping(x,bin_size)] = [y]
	for key,win_data in Pwins_dict.iteritems():
		Pwins_dict[key].append(numpy.mean(numpy.array(win_data)))
	return Pwins_dict

示例#3

文件： data_scrapping.py 项目： emschorsch/fanduel

def get_contest_utlity(avg_top_wins,time_remaining,wins_data,bin_size):
	future_utility = 0.0007*time_remaining #predicting future utility, currently assumes 0.6 at T-600mins and 0.0 at T-0 min. Needs more rigourous stats
	try:
		contest_utility = wins_data[Ugen.bin_mapping(avg_top_wins,bin_size)][-1]
		#if avg_top_wins <=500:
			#contest_utility = 1#tempory contest utilities until hist performance dataset builts
		#else:
			#contest_utility = 0
	except KeyError:
		print 'wins data bin for ' + str(avg_top_wins) + ' does not exist'
		contest_utility = 0
	return contest_utility,future_utility

示例#4

文件： data_scrapping.py 项目： cole-maclean/fanduel

def get_contest_utlity(avg_top_wins,time_remaining,wins_data,bin_size):
	future_utility = 0.0007*time_remaining #predicting future utility, currently assumes 0.6 at T-600mins and 0.0 at T-0 min. Needs more rigourous stats
	try:
		contest_utility = wins_data[Ugen.bin_mapping(avg_top_wins,bin_size)][-1]
		#if avg_top_wins <=500:
			#contest_utility = 1#tempory contest utilities until hist performance dataset builts
		#else:
			#contest_utility = 0
	except KeyError:
		print 'wins data bin for ' + str(avg_top_wins) + ' does not exist'
		contest_utility = 0
	return contest_utility,future_utility