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L2 Normalizer#

Transform each sample vector in the sample matrix such that each feature is divided by the L2 norm (or magnitude) of that vector. The resulting sample will have continuous features between 0 and 1.

Interfaces: Transformer

Data Type Compatibility: Continuous only

Parameters#

This transformer does not have any parameters.

Additional Methods#

This transformer does not have any additional methods.

Example#

use Rubix\ML\Transformers\L2Normalizer;

$transformer = new L2Normalizer();