Min Max Normalizer#
The Min Max Normalizer scales the input features to a value between a user-specified range (default 0 to 1).
Interfaces: Transformer, Stateful, Elastic, Reversible, Persistable
Data Type Compatibility: Continuous
Parameters#
| # | Name | Default | Type | Description |
|---|---|---|---|---|
| 1 | min | 0.0 | float | The minimum value of the transformed features. |
| 2 | max | 1.0 | float | The maximum value of the transformed features. |
Example#
use Rubix\ML\Transformers\MinMaxNormalizer;
$transformer = new MinMaxNormalizer(-5.0, 5.0);
Additional Methods#
Return the minimum values for each fitted feature column:
public minimums() : ?array
Return the maximum values for each fitted feature column:
public maximums() : ?array