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.

You can use this function with models that support manual feature preprocessing. For more information, see the following documents:

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()ASoutput
FROM
UNNEST([1,2,3,4,5])ASf;

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.