Module normalizer 

Normalizer: scale each sample (row) to unit norm.

Unlike column-wise scalers, the Normalizer operates row-wise: each sample is scaled independently so that its chosen norm equals 1.

Supported norms:

• L1: divide by the sum of absolute values
• L2: divide by the Euclidean norm (default)
• Max: divide by the maximum absolute value

Samples that already have a zero norm are left unchanged.

This transformer is stateless — no fitting is required. Call Transform::transform directly.

Structs

Normalizer

A stateless row-wise normalizer.

Enums

NormType

The norm used by Normalizer when scaling each sample.