Struct MinMaxScaler 

pub struct MinMaxScaler { /* private fields */ }

MinMax scaler

Implementations

impl MinMaxScaler

pub fn new() -> Self

Create new MinMaxScaler

pub fn feature_range(self, min_val: f64, max_val: f64) -> Self

Set feature range

pub fn fit(&mut self, X: &Array2<f64>) -> Result<()>

Fit the scaler

pub fn transform(&self, X: &Array2<f64>) -> Result<Array2<f64>>

Transform data

pub fn fit_transform(&mut self, X: &Array2<f64>) -> Result<Array2<f64>>

Fit and transform

Trait Implementations

impl Default for MinMaxScaler

fn default() -> Self

Returns the “default value” for a type.

impl SklearnEstimator for MinMaxScaler

fn fit(&mut self, X: &Array2<f64>, _y: Option<&Array1<f64>>) -> Result<()>

Fit the model to training data

fn get_params(&self) -> HashMap<String, String>

Get model parameters

fn set_params(&mut self, params: HashMap<String, String>) -> Result<()>

Set model parameters

fn is_fitted(&self) -> bool

Check if model is fitted

fn get_feature_names_out(&self) -> Vec<String>

Get feature names