Struct PowerTransformer 

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

PowerTransformer applies power transformations to make data more Gaussian

This transformer applies power transformations to each feature to make the data more Gaussian-like, which can improve the performance of many machine learning algorithms.

Implementations

impl PowerTransformer<Untrained>

pub fn new() -> Self

Create a new PowerTransformer

pub fn with_config(config: PowerTransformerConfig) -> Self

Create a new PowerTransformer with custom configuration

pub fn method(self, method: PowerMethod) -> Self

Set the transformation method

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

Set whether to standardize after transformation

pub fn eps(self, eps: Float) -> Self

Set the epsilon for numerical stability

impl PowerTransformer<Trained>

pub fn n_features_in(&self) -> usize

Get the number of input features

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

Get the optimal lambda parameters

pub fn means(&self) -> Option<&Array1<Float>>

Get the means used for standardization

pub fn stds(&self) -> Option<&Array1<Float>>

Get the standard deviations used for standardization

pub fn inverse_box_cox(&self, x: &Array1<Float>, lambda: Float) -> Array1<Float>

Inverse Box-Cox transformation

pub fn inverse_yeo_johnson( &self, x: &Array1<Float>, lambda: Float, ) -> Array1<Float>

Inverse Yeo-Johnson transformation

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

Apply inverse transformation to the entire dataset

Trait Implementations

impl<State: Clone> Clone for PowerTransformer<State>

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

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl<State: Debug> Debug for PowerTransformer<State>

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

Formats the value using the given formatter.

impl Default for PowerTransformer<Untrained>

fn default() -> Self

Returns the “default value” for a type.

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

type Fitted = PowerTransformer<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 PowerTransformer<Trained>

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

Transform the input data