Struct MinMaxScaler 

pub struct MinMaxScaler<F: Float> {
    pub feature_min: F,
    pub feature_max: F,
}

Parameters for MinMaxScaler (unfitted state).

Scales features to a given range (default [0, 1]): x_scaled = (x - min) / (max - min) * (feature_max - feature_min) + feature_min

Fields

feature_min: F

feature_max: F

Implementations

impl<F: Float> MinMaxScaler<F>

pub fn new() -> Self

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

pub fn with_range(self, min: F, max: F) -> Self

Set the target feature range (min, max).

Trait Implementations

impl<F: Clone + Float> Clone for MinMaxScaler<F>

fn clone(&self) -> MinMaxScaler<F>

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl<F: Debug + Float> Debug for MinMaxScaler<F>

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

Formats the value using the given formatter.

impl<F: Float> Default for MinMaxScaler<F>

fn default() -> Self

Returns the “default value” for a type.

impl<'de, F> Deserialize<'de> for MinMaxScaler<F>

where F: DeserializeOwned + Float,

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl<F: Float> FitUnsupervised<F> for MinMaxScaler<F>

type Fitted = FittedMinMaxScaler<F>

fn fit(&self, x: &Array2<F>) -> Result<Self::Fitted>

impl<F> Serialize for MinMaxScaler<F>

where F: Serialize + Float,

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.