Struct StandardScaler 

pub struct StandardScaler {
    pub with_mean: bool,
    pub with_std: bool,
}

Parameters for StandardScaler (unfitted state).

Standardizes features by removing the mean and scaling to unit variance: z = (x - mean) / std

Fields

with_mean: bool

If true, center data to zero mean before scaling.

with_std: bool

If true, scale data to unit variance.

Implementations

impl StandardScaler

pub fn new() -> StandardScaler

Create a new StandardScaler with defaults (both centering and scaling enabled).

pub fn with_mean(self, with_mean: bool) -> StandardScaler

Set whether to center data to zero mean before scaling.

pub fn with_std(self, with_std: bool) -> StandardScaler

Set whether to scale data to unit variance.

Trait Implementations

impl Clone for StandardScaler

fn clone(&self) -> StandardScaler

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for StandardScaler

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

Formats the value using the given formatter.

impl Default for StandardScaler

fn default() -> StandardScaler

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for StandardScaler

fn deserialize<__D>( __deserializer: __D, ) -> Result<StandardScaler, <__D as Deserializer<'de>>::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl<F> FitUnsupervised<F> for StandardScaler

where F: Float,

type Fitted = FittedStandardScaler<F>

fn fit( &self, x: &ArrayBase<OwnedRepr<F>, Dim<[usize; 2]>>, ) -> Result<<StandardScaler as FitUnsupervised<F>>::Fitted, RustMlError>

impl Serialize for StandardScaler

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

where __S: Serializer,

Serialize this value into the given Serde serializer.