#theta = theta - alpha*(theta*X-Y)*X
theta = 1.0
#(alpha 阿尔法)
alpha = 0.1
#100次遍历
for i in range(100):
#sum/3.0表示求加权平均值
theta = theta + np.sum(alpha*(Y-dot(X,theta))*X)/3.0
print(theta)
3.打印结果:
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接下来这段原码是实现100,从100递减执行
j = 79
for i in range(79):
the_date = datetime.date.today()
yesterday = the_date - datetime.timedelta(days=j)
currentDate = yesterday
start_date = currentDate
end_date = currentDate
yesterday = start_date - datetime.timedelta(days=1)
# 当前时间戳-日志查询结束时间
startTimeStamp = int(time.mktime(time.strptime(str(start_date), "%Y-%m-%d")))
endTimeStamp = startTimeStamp + 86399
print("数据开始时间:", start_date)
print("数据结束时间:", end_date)
print("开始时间戳:", startTimeStamp)
print("结束时间戳:", endTimeStamp)
print("昨日日期:", yesterday)
j -= 1
print("jjjjjjjjjjjj:", j)
print()
print()
print()