Struct RobustScaler 

pub struct RobustScaler {
    pub with_centering: bool,
    pub with_scaling: bool,
}

Parameters for RobustScaler (unfitted state).

Scales features using statistics that are robust to outliers. Uses the median and interquartile range (IQR = Q3 - Q1) instead of mean and standard deviation: z = (x - median) / IQR

Fields

with_centering: bool

If true, center data by subtracting the median.

with_scaling: bool

If true, scale data by dividing by the IQR.

Implementations

impl RobustScaler

pub fn new() -> RobustScaler

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

pub fn with_centering(self, with_centering: bool) -> RobustScaler

Set whether to center data by subtracting the median.

pub fn with_scaling(self, with_scaling: bool) -> RobustScaler

Set whether to scale data by dividing by the IQR.

Trait Implementations

impl Clone for RobustScaler

fn clone(&self) -> RobustScaler

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for RobustScaler

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

Formats the value using the given formatter.

impl Default for RobustScaler

fn default() -> RobustScaler

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for RobustScaler

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl<F> FitUnsupervised<F> for RobustScaler

where F: Float,

type Fitted = FittedRobustScaler<F>

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

impl Serialize for RobustScaler

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.