Struct DataPreprocessor 

pub struct DataPreprocessor { /* private fields */ }

Data preprocessor for normalization and standardization.

Implementations

impl DataPreprocessor

pub fn standardize() -> Self

Create a new preprocessor with standardization.

pub fn min_max_normalize() -> Self

Create a new preprocessor with min-max normalization.

pub fn min_max_scale(min: i32, max: i32) -> Self

Create a new preprocessor with custom min-max scaling.

pub fn none() -> Self

Create a preprocessor that does nothing.

pub fn fit(&mut self, data: &Array2<f64>) -> &mut Self

Fit the preprocessor to data.

pub fn transform(&self, data: &Array2<f64>) -> TrainResult<Array2<f64>>

Transform data using fitted parameters.

pub fn fit_transform(&mut self, data: &Array2<f64>) -> TrainResult<Array2<f64>>

Fit and transform in one step.

pub fn inverse_transform(&self, data: &Array2<f64>) -> TrainResult<Array2<f64>>

Inverse transform to original scale.

pub fn is_fitted(&self) -> bool

Check if the preprocessor is fitted.

pub fn method(&self) -> PreprocessingMethod

Get the preprocessing method.

Trait Implementations

impl Clone for DataPreprocessor

fn clone(&self) -> DataPreprocessor

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for DataPreprocessor

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

Formats the value using the given formatter.