Module rusty_machine::data::transforms::normalize

The Normalizing Transformer

This module contains the Normalizer transformer.

The Normalizer transformer is used to transform input data so that the norm of each row is equal to 1. By default the Normalizer uses the Euclidean norm.

If input data has a row with all 0, Normalizer keeps the row as it is.

Because transformation is performed per row independently, inverse transformation is not supported.

Examples

use rusty_machine::data::transforms::{Transformer, Normalizer};
use rusty_machine::linalg::Matrix;

// Constructs a new `Normalizer`
let mut transformer = Normalizer::default();

let inputs = Matrix::new(2, 2, vec![-1.0, 2.0, 1.5, 3.0]);

// Transform the inputs
let transformed = transformer.transform(inputs).unwrap();

Structs

Normalizer

The Normalizer