Struct StandardScaler 

pub struct StandardScaler { /* private fields */ }

Standardizes each column to zero mean / unit variance. fit learns the column means and std-devs; transform applies (x − μ)/σ. A zero-variance column is left centered (σ treated as 1) rather than producing NaNs.

Implementations

impl StandardScaler

pub fn fit(x: &[f64], n_rows: usize, n_cols: usize) -> Option<Self>

Learn per-column statistics from a row-major n_rows × n_cols matrix. None on a shape mismatch or empty input.

pub fn means(&self) -> &[f64]

pub fn stds(&self) -> &[f64]

pub fn transform_inplace( &self, x: &mut [f64], n_rows: usize, n_cols: usize, ) -> Option<()>

Apply standardization in place to a row-major n_rows × n_cols matrix using the learned statistics. None on a shape mismatch.

pub fn fit_transform( x: &[f64], n_rows: usize, n_cols: usize, ) -> Option<(Self, Vec<f64>)>

Fit then transform a copy of x, returning the standardized matrix.

Trait Implementations

impl Clone for StandardScaler

fn clone(&self) -> StandardScaler

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for StandardScaler

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

Formats the value using the given formatter.