Struct DataMatrix 

pub struct DataMatrix {
    pub data: Vec<f64>,
    pub n_samples: usize,
    pub n_features: usize,
}

A dense matrix for ML data (row-major storage).

Each row represents a sample, each column represents a feature.

Fields

data: Vec<f64>

Flat storage of all values (row-major).

n_samples: usize

Number of samples (rows).

n_features: usize

Number of features (columns).

Implementations

impl DataMatrix

pub fn new(data: Vec<f64>, n_samples: usize, n_features: usize) -> Self

Create a new data matrix from flat data.

pub fn from_rows(rows: &[&[f64]]) -> Self

Create a data matrix from row vectors.

pub fn row(&self, idx: usize) -> &[f64]

Get a row (sample) as a slice.

pub fn row_mut(&mut self, idx: usize) -> &mut [f64]

Get a mutable row.

pub fn get(&self, row: usize, col: usize) -> f64

Get element at (row, col).

pub fn set(&mut self, row: usize, col: usize, value: f64)

Set element at (row, col).

pub fn zeros(n_samples: usize, n_features: usize) -> Self

Create a zero matrix.

Trait Implementations

impl Clone for DataMatrix

fn clone(&self) -> DataMatrix

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for DataMatrix

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for DataMatrix

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for DataMatrix

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.