Struct SimpleImputer 

#[non_exhaustive]
pub struct SimpleImputer { /* private fields */ }

Imputes missing (NaN) values in each feature column.

During fit, the imputer computes one fill value per feature using the chosen Strategy. During transform, every NaN in a column is replaced with that value.

Example

let mut imp = SimpleImputer::new().strategy(Strategy::Median);
imp.fit_transform(&mut ds)?;

Implementations

impl SimpleImputer

pub fn new() -> Self

Create a new unfitted imputer (defaults to Strategy::Mean).

pub fn strategy(self, strategy: Strategy) -> Self

Set the imputation strategy.

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

Return the per-feature fill values computed during fit.

Panics

Panics if the imputer has not been fitted.

Trait Implementations

impl Clone for SimpleImputer

fn clone(&self) -> SimpleImputer

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for SimpleImputer

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

Formats the value using the given formatter.

impl Default for SimpleImputer

fn default() -> Self

Returns the “default value” for a type.

impl Transformer for SimpleImputer

fn fit(&mut self, data: &Dataset) -> Result<()>

Learn parameters from the training data.

fn transform(&self, data: &mut Dataset) -> Result<()>

Apply the learned transformation to a dataset (in-place).

fn inverse_transform(&self, _data: &mut Dataset) -> Result<()>

Reverse the transformation (if invertible).

fn fit_transform(&mut self, data: &mut Dataset) -> Result<()>

Convenience: fit + transform in one call.