本文介绍了mysql特征缩放计算的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
我需要制定一个 mysql 查询来选择以这种方式标准化的值:标准化 = (value-min(values))/(max(values)-min(values))
我的尝试如下所示:
I need to formulate a mysql query to select values normalized this way:
normalized = (value-min(values))/(max(values)-min(values))
My attempt looks like this:
select
Measurement_Values.Time,
((Measurement_Values.Value-min(Measurement_Values.Value))/(max(Measurement_Values.Value)-min(Measurement_Values.Value)))
from Measurement_Values
where Measurement_Values.Measure_ID = 49 and Measurement_Values.time >= '2020-05-30 00:00'
但显然是错误的,因为它只返回一个值.你能帮我找到正确的语法吗?
but is obviously wrong as it returns only one value. Can you help me finding the correct syntax?
推荐答案
你的问题解释有点短,但我认为你需要窗口函数(仅在 MySQL 8.0 中可用):
Your question is a little short on explanations, but I think that you want window functions (available in MySQL 8.0 only):
select
time,
value,
(value - min(value) over() / (max(value) over() - min(value) over()) normalized_value
from measurement_values
where measure_id = 49 and time >= '2020-05-30 00:00'
或者,在早期版本中,您可以通过使用聚合查询连接表来获得相同的结果:
Or, in earlier versions, you can get the same result by joining the table with an aggregate query:
select
mv.time,
mv.value,
(mv.value - mx.min_value) / (mx.max_value - mx.min_value) normalized_value
from measurement_values
cross join (
select min(value) min_value, max(value) max_value
from measurement_values
where measure_id = 49 and time >= '2020-05-30 00:00'
) mx
where measure_id = 49 and time >= '2020-05-30 00:00'
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