Function normalize_rows 

pub fn normalize_rows(data: &[Vec<f64>]) -> Result<Vec<Vec<f64>>>

Normalize each row of a data matrix (L2 normalization).

This is useful preprocessing for some kernel methods.

Arguments

• data - Data matrix (rows are samples)

Returns

• Row-normalized data matrix

Examples

use tensorlogic_sklears_kernels::kernel_utils::normalize_rows;

let data = vec![
    vec![3.0, 4.0],
    vec![5.0, 12.0],
];

let normalized = normalize_rows(&data).unwrap();
// Each row now has unit norm