Struct Winsorizer 

pub struct Winsorizer<State = Untrained> { /* private fields */ }

Winsorizer for capping extreme outliers

This transformer limits extreme values by replacing outliers with percentile values. For example, with lower_percentile=5 and upper_percentile=95, all values below the 5th percentile are set to the 5th percentile value, and all values above the 95th percentile are set to the 95th percentile value.

Implementations

impl Winsorizer<Untrained>

pub fn new() -> Self

Create a new Winsorizer with default configuration

pub fn with_percentiles(lower: Float, upper: Float) -> Self

Create a Winsorizer with specified percentiles

pub fn with_iqr(multiplier: Float) -> Self

Create a Winsorizer with IQR-based bounds

pub fn lower_percentile(self, percentile: Float) -> Self

Set the lower percentile

pub fn upper_percentile(self, percentile: Float) -> Self

Set the upper percentile

pub fn feature_wise(self, feature_wise: bool) -> Self

Set whether to winsorize features independently

pub fn nan_strategy(self, strategy: NanStrategy) -> Self

Set the NaN handling strategy

impl Winsorizer<Trained>

pub fn lower_bounds(&self) -> &Array1<Float>

Get the lower bounds

pub fn upper_bounds(&self) -> &Array1<Float>

Get the upper bounds

pub fn n_features_in(&self) -> usize

Get the number of features seen during fitting

pub fn winsorize_single(&self, feature_idx: usize, value: Float) -> Float

Apply winsorization to a single value for a specific feature

pub fn get_winsorization_stats( &self, x: &Array2<Float>, ) -> Result<WinsorizationStats>

Get statistics about the winsorization applied to the data

Trait Implementations

impl<State: Clone> Clone for Winsorizer<State>

fn clone(&self) -> Winsorizer<State>

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl<State: Debug> Debug for Winsorizer<State>

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

Formats the value using the given formatter.

impl Default for Winsorizer<Untrained>

fn default() -> Self

Returns the “default value” for a type.

impl Fit<ArrayBase<OwnedRepr<f64>, Dim<[usize; 2]>>, ()> for Winsorizer<Untrained>

type Fitted = Winsorizer<Trained>

The fitted model type

fn fit(self, x: &Array2<Float>, _y: &()) -> Result<Self::Fitted>

Fit the model to the provided data with validation

fn fit_with_validation( self, x: &X, y: &Y, _x_val: Option<&X>, _y_val: Option<&Y>, ) -> Result<(Self::Fitted, FitMetrics), SklearsError>

where Self: Sized,

Fit with custom validation and early stopping

impl Transform<ArrayBase<OwnedRepr<f64>, Dim<[usize; 2]>>> for Winsorizer<Trained>

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

Transform the input data