Struct ColumnTransformer 

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

Apply different transformers to different column subsets, then concatenate all transformed outputs.

Builder API

let ct = ColumnTransformer::new()
    .add(&[0, 1], StandardScaler::new())
    .add(&[2, 3], MinMaxScaler::new());
ct.fit_transform(&mut ds)?;

Implementations

impl ColumnTransformer

pub fn new() -> Self

Create an empty column transformer.

pub fn add<T: Transformer + 'static>( self, columns: &[usize], transformer: T, ) -> Self

Add a transformer to be applied to the given column indices.

Trait Implementations

impl Default for ColumnTransformer

fn default() -> Self

Returns the “default value” for a type.

impl Transformer for ColumnTransformer

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.