Struct ProjectionLayer 

pub struct ProjectionLayer { /* private fields */ }

A linear projection layer: output = activation(W·input + b).

Implementations

impl ProjectionLayer

pub fn new(input_dim: usize, output_dim: usize, init: InitMethod) -> Self

Create a new projection layer with the given initialisation method.

pub fn with_activation(self, activation: ActivationFn) -> Self

Attach an activation function (builder pattern).

pub fn project(&self, input: &[f64]) -> Vec<f64>

Project a single input vector.

Returns an error string if input.len() != self.input_dim().

pub fn project_batch(&self, inputs: &[Vec<f64>]) -> Vec<Vec<f64>>

Project a batch of input vectors.

pub fn input_dim(&self) -> usize

Return the input dimensionality.

pub fn output_dim(&self) -> usize

Return the output dimensionality.

pub fn set_weights(&mut self, weights: Vec<Vec<f64>>) -> Result<(), String>

Replace the weight matrix.

Returns Err if dimensions do not match (output_dim × input_dim).

pub fn set_bias(&mut self, bias: Vec<f64>) -> Result<(), String>

Replace the bias vector.

Returns Err if bias.len() != output_dim.

pub fn parameter_count(&self) -> usize

Return the total number of learnable parameters (weights + biases).

Trait Implementations

impl Clone for ProjectionLayer

fn clone(&self) -> ProjectionLayer

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for ProjectionLayer

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.