Struct FittedSimpleImputer 

pub struct FittedSimpleImputer<F> { /* private fields */ }

A fitted simple imputer holding one fill value per feature column.

Created by calling Fit::fit on a SimpleImputer.

Implementations

impl<F: Float + Send + Sync + 'static> FittedSimpleImputer<F>

pub fn fill_values(&self) -> &Array1<F>

Return the per-input-column fill values learned during fitting.

Mirrors scikit-learn’s statistics_: entries for all-NaN columns that are dropped under Mean/Median/MostFrequent are F::nan().

pub fn kept_indices(&self) -> &[usize]

Return the input-column indices that survive transform, ascending.

Trait Implementations

impl<F: Clone> Clone for FittedSimpleImputer<F>

fn clone(&self) -> FittedSimpleImputer<F>

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl<F: Debug> Debug for FittedSimpleImputer<F>

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

Formats the value using the given formatter.

impl<F: Float + Send + Sync + 'static> FittedPipelineTransformer<F> for FittedSimpleImputer<F>

fn transform_pipeline(&self, x: &Array2<F>) -> Result<Array2<F>, FerroError>

Transform data using the pipeline interface.

Errors

Propagates errors from Transform::transform.

impl<F: Float + Send + Sync + 'static> Transform<ArrayBase<OwnedRepr<F>, Dim<[usize; 2]>>> for FittedSimpleImputer<F>

fn transform(&self, x: &Array2<F>) -> Result<Array2<F>, FerroError>

Replace NaN values with the learned fill value, projecting onto the columns that survived fitting.

The transform input must have the same number of columns as the fit input (the full input width, fill_values.len()), matching scikit-learn which validates against statistics_.shape[0] (_base.py:573-577). The OUTPUT keeps only Self::kept_indices columns, in ascending order — dropping all-NaN columns under Mean/Median/MostFrequent (sklearn X = X[:, valid_statistics_indexes], _base.py:586-603).

Errors

Returns FerroError::ShapeMismatch if the number of columns does not match the number of features seen during fitting.

type Output = ArrayBase<OwnedRepr<F>, Dim<[usize; 2]>>

The transformed output type.

type Error = FerroError

The error type returned by transform.