Function standardize_simd 

pub fn standardize_simd<F>(a: &ArrayView1<'_, F>) -> Array1<F>
where
    F: Float + SimdUnifiedOps,

SIMD-accelerated standardization (z-score normalization)

Transforms to zero mean and unit variance: (x - mean) / std

Arguments

• a - Input array

Returns

Standardized array

Examples

use scirs2_core::ndarray::array;
use scirs2_core::ndarray_ext::elementwise::standardize_simd;

let x = array![2.0_f64, 4.0, 4.0, 4.0, 5.0, 5.0, 7.0, 9.0];
let result = standardize_simd::<f64>(&x.view());
// Mean should be ~0, std should be ~1
let mean: f64 = result.iter().sum::<f64>() / result.len() as f64;
assert!(mean.abs() < 1e-10);

Use Cases

• Feature scaling for ML
• Batch normalization
• Statistical preprocessing
• Anomaly scoring