Struct PowerTransformer

pub struct PowerTransformer { /* private fields */ }

Optimized PowerTransformer for making data more Gaussian-like

This is an enhanced version of the power transformation that includes:

• Optimal lambda parameter estimation using maximum likelihood
• Vectorized operations for better performance
• Parallel processing for multiple features
• Fit/transform API for reusable transformations
• Inverse transformation capability
• Enhanced numerical stability

Implementations

impl PowerTransformer

pub fn new(method: &str, standardize: bool) -> Result<Self>

Creates a new PowerTransformer

Arguments

• method - The transformation method (‘yeo-johnson’ or ‘box-cox’)
• standardize - Whether to standardize the output to have zero mean and unit variance

Returns

• A new PowerTransformer instance

pub fn yeo_johnson(standardize: bool) -> Self

Creates a new PowerTransformer with Yeo-Johnson method

pub fn box_cox(standardize: bool) -> Self

Creates a new PowerTransformer with Box-Cox method

pub fn fit<S>(&mut self, x: &ArrayBase<S, Ix2>) -> Result<()>

where S: Data, S::Elem: Float + NumCast,

Fits the PowerTransformer to the input data

This computes the optimal lambda parameters for each feature using maximum likelihood estimation

Arguments

• x - The input data, shape (n_samples, n_features)

Returns

• Result<()> - Ok if successful, Err otherwise

pub fn transform<S>(&self, x: &ArrayBase<S, Ix2>) -> Result<Array2<f64>>

where S: Data, S::Elem: Float + NumCast,

Transforms the input data using the fitted parameters

Arguments

• x - The input data to transform

Returns

• Result<Array2<f64>> - The transformed data

pub fn fit_transform<S>(&mut self, x: &ArrayBase<S, Ix2>) -> Result<Array2<f64>>

where S: Data, S::Elem: Float + NumCast,

Fits the transformer and transforms the data in one step

Arguments

• x - The input data to fit and transform

Returns

• Result<Array2<f64>> - The transformed data

pub fn inverse_transform<S>(&self, x: &ArrayBase<S, Ix2>) -> Result<Array2<f64>>

where S: Data, S::Elem: Float + NumCast,

Applies the inverse transformation to recover the original data

Arguments

• x - The transformed data to inverse transform

Returns

• Result<Array2<f64>> - The inverse transformed data

pub fn lambdas(&self) -> Option<&Array1<f64>>

Returns the fitted lambda parameters

pub fn is_fitted(&self) -> bool

Returns whether the transformer has been fitted

Trait Implementations

impl Clone for PowerTransformer

fn clone(&self) -> PowerTransformer

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for PowerTransformer

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

Formats the value using the given formatter.