Struct PowerTransformer 

pub struct PowerTransformer {
    pub standardize: bool,
}

Parameters for PowerTransformer (unfitted state).

Applies a Yeo-Johnson power transform to each feature to make the data more Gaussian-like, then optionally standardizes to zero mean and unit variance.

The optimal lambda per feature is found via grid search (maximizing the log-likelihood of the resulting normal distribution).

Fields

standardize: bool

If true, standardize the transformed data to zero mean, unit variance.

Implementations

impl PowerTransformer

pub fn new() -> Self

Create a new PowerTransformer with defaults (standardization enabled).

pub fn standardize(self, standardize: bool) -> Self

Set whether to standardize after the power transform.

Trait Implementations

impl Clone for PowerTransformer

fn clone(&self) -> PowerTransformer

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for PowerTransformer

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

Formats the value using the given formatter.

impl Default for PowerTransformer

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for PowerTransformer

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 PowerTransformer

type Fitted = FittedPowerTransformer<F>

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

impl Serialize for PowerTransformer

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

where __S: Serializer,

Serialize this value into the given Serde serializer.