Struct neuralnetwork::matrix::Matrix

pub struct Matrix {
    pub rows: usize,
    pub cols: usize,
    // some fields omitted
}

Fields

rows: usize

cols: usize

Implementations

impl Matrix

pub fn new(rows: usize, cols: usize) -> Matrix

pub fn new_random(rows: usize, cols: usize, rng: &mut Xorshift32) -> Matrix

pub fn mul_components(first: &Matrix, second: &Matrix) -> Matrix

pub fn transpose(&self) -> Matrix

pub fn apply_function(&self, f: fn(_: f32) -> f32) -> Matrix

pub fn index_of_max(&self) -> usize

Trait Implementations

impl Add<&'_ Matrix> for &Matrix

type Output = Matrix

The resulting type after applying the + operator.

pub fn add(self, other: &Matrix) -> Matrix

Performs the + operation.

impl AddAssign<Matrix> for Matrix

pub fn add_assign(&mut self, other: Matrix)

Performs the += operation.

impl Display for Matrix

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

Formats the value using the given formatter.

impl Index<usize> for Matrix

type Output = [f32]

The returned type after indexing.

pub fn index(&self, row: usize) -> &Self::Output

Performs the indexing (container[index]) operation.

impl IndexMut<usize> for Matrix

pub fn index_mut(&mut self, row: usize) -> &mut Self::Output

Performs the mutable indexing (container[index]) operation.

impl Mul<&'_ Matrix> for &Matrix

type Output = Matrix

The resulting type after applying the * operator.

pub fn mul(self, other: &Matrix) -> Matrix

Performs the * operation.

impl Mul<f32> for Matrix

type Output = Matrix

The resulting type after applying the * operator.

pub fn mul(self, other: f32) -> Matrix

Performs the * operation.

impl Sub<&'_ Matrix> for &Matrix

type Output = Matrix

The resulting type after applying the - operator.

pub fn sub(self, other: &Matrix) -> Matrix

Performs the - operation.