The ML.MIN_MAX_SCALER function
This document describes the ML.MIN_MAX_SCALER
function, which lets you scale
a numerical_expression to the range [0, 1]
. Negative values are set to 0
,
and values above 1
are set to 1
.
When used in the
TRANSFORM
clause,
the range of [0,1]
is automatically used in prediction, and predicted
values outside that range are similarly capped.
Syntax
ML.MIN_MAX_SCALER(numerical_expression) OVER()
Arguments
ML.MIN_MAX_SCALER
takes the following argument:
numerical_expression
: the numerical expression to scale.
Output
ML.MIN_MAX_SCALER
returns a FLOAT64
value that represents the scaled
numerical expression.
Example
The following example scales a set of numerical expressions to values between
0
and 1
:
SELECT f, ML.MIN_MAX_SCALER(f) OVER() AS output FROM UNNEST([1,2,3,4,5]) AS f;
The output looks similar to the following:
+---+--------+ | f | output | +---+--------+ | 4 | 0.75 | | 2 | 0.25 | | 1 | 0.0 | | 3 | 0.5 | | 5 | 1.0 | +---+--------+
What's next
- For information about feature preprocessing, see Feature preprocessing overview.
- For information about the supported SQL statements and functions for each model type, see End-to-end user journey for each model.