Function one_hot_encode 

pub fn one_hot_encode<F: Float + Debug>(
    indices: &Array1<usize>,
    num_classes: usize,
) -> Result<Array2<F>>

Calculate the one-hot encoding of a vector of indices

• indices - Vector of class indices
• num_classes - Number of classes
• A 2D array where each row is a one-hot encoded vector use scirs2_neural::utils::one_hot_encode; use scirs2_core::ndarray::arr1; let indices = arr1(&[0, 2, 1]); let one_hot = one_hot_encode::(&indices, 3).unwrap(); assert_eq!(one_hot.shape(), &[3, 3]); assert_eq!(one_hot[[0, 0]], 1.0f64); // First sample, class 0 assert_eq!(one_hot[[1, 2]], 1.0f64); // Second sample, class 2 assert_eq!(one_hot[[2, 1]], 1.0f64); // Third sample, class 1