Struct MinMaxScaler 

pub struct MinMaxScaler { /* private fields */ }

A transformer that scales each item to a custom range, defaulting to [0, 1].

Implementations

impl MinMaxScaler

pub fn new() -> Self

Create a new MinMaxScaler with the default output range of [0, 1].

pub fn with_scaled_range(self, min: f64, max: f64) -> Self

Set the output range for the transformation.

pub fn with_data_range(self, min: f64, max: f64) -> Self

Manually set the input range for the transformation.

This is useful if you know the input range in advance and want to avoid the overhead of fitting the scaler to the data during the initial transform, and instead want to set the input range manually.

Note that this will override any previously set (or learned) parameters.

Trait Implementations

impl Clone for MinMaxScaler

fn clone(&self) -> MinMaxScaler

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for MinMaxScaler

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

Formats the value using the given formatter.

impl Default for MinMaxScaler

fn default() -> Self

Returns the “default value” for a type.

impl Transformer for MinMaxScaler

fn fit(&mut self, data: &[f64]) -> Result<(), Error>

Fit the scaler to the given data.

This will compute the min and max values of the data and store them in the params field of the scaler.

fn transform(&self, data: &mut [f64]) -> Result<(), Error>

Apply the scaler to the given data.

fn inverse_transform(&self, data: &mut [f64]) -> Result<(), Error>

Apply the inverse of the scaler to the given data.

fn fit_transform(&mut self, data: &mut [f64]) -> Result<(), Error>

Fit the transformation to the given time series and then apply it.

fn boxed(self) -> Box<dyn Transformer>

where Self: Sized + 'static,

Create a boxed version of the transformation.