Struct NumpyStyleNetwork 

pub struct NumpyStyleNetwork { /* private fields */ }

NumPy-style implementation using ndarray operations

Implementations

impl NumpyStyleNetwork

pub fn new_standard() -> Self

pub fn forward(&self, input: &Array1<f32>) -> Array1<f32>

Forward pass using ndarray broadcasting (like NumPy)

pub fn forward_batch(&self, inputs: &Array2<f32>) -> Array2<f32>

Batch forward pass (like NumPy’s vectorized operations)

pub fn predict_timed(&self, input: &Array1<f32>) -> (Array1<f32>, Duration)

Predict with timing

pub fn predict_batch_timed( &self, inputs: &Array2<f32>, ) -> (Array2<f32>, Duration)

Batch predict with timing

pub fn compute_gradients( &self, input: &Array1<f32>, target: &Array1<f32>, ) -> f32

Gradient computation (for completeness, like sklearn)