Struct MaxAbsScaler 

pub struct MaxAbsScaler { /* private fields */ }

MaxAbsScaler for scaling features by their maximum absolute value

This scaler scales each feature individually such that the maximal absolute value of each feature in the training set will be 1.0. It does not shift/center the data, and thus does not destroy any sparsity.

Implementations

impl MaxAbsScaler

pub fn new() -> Self

Creates a new MaxAbsScaler

Returns

• A new MaxAbsScaler instance

Examples

use scirs2_transform::scaling::MaxAbsScaler;

let scaler = MaxAbsScaler::new();

pub fn with_defaults() -> Self

Creates a MaxAbsScaler with default settings (same as new())

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

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

Fits the MaxAbsScaler to the input data

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 MaxAbsScaler

Arguments

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

Returns

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

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

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

Fits the MaxAbsScaler to the input data and transforms it

Arguments

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

Returns

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

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

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

Inverse transforms the scaled data back to original scale

Arguments

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

Returns

• Result<Array2<f64>> - The data in original scale

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

Returns the maximum absolute values for each feature

Returns

• Option<&Array1<f64>> - The maximum absolute values

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

Returns the scale factors for each feature

Returns

• Option<&Array1<f64>> - The scale factors (1 / max_abs)

Trait Implementations

impl Default for MaxAbsScaler

fn default() -> Self

Returns the “default value” for a type.