Struct PolynomialFeatures 

pub struct PolynomialFeatures<State = Untrained> { /* private fields */ }

PolynomialFeatures generates polynomial and interaction features

Generate a new feature matrix consisting of all polynomial combinations of the features with degree less than or equal to the specified degree. For example, if an input sample is two dimensional and of the form [a, b], the degree-2 polynomial features are [1, a, b, a^2, ab, b^2].

Implementations

impl PolynomialFeatures<Untrained>

pub fn new() -> Self

Create a new PolynomialFeatures

pub fn with_config(config: PolynomialFeaturesConfig) -> Self

Create a new PolynomialFeatures with custom configuration

pub fn degree(self, degree: usize) -> Self

Set the degree of polynomial features

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

Set whether to include only interaction terms

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

Set whether to include bias term

pub fn interaction_depth(self, depth: Option<usize>) -> Self

Set maximum depth of interactions

pub fn max_features(self, max_features: Option<usize>) -> Self

Set maximum number of features

pub fn with_feature_selection(self, alpha: Float) -> Self

Enable feature selection

impl<State> PolynomialFeatures<State>

Static methods for PolynomialFeatures

pub fn get_n_output_features( n_features: usize, degree: usize, include_bias: bool, interaction_only: bool, ) -> usize

Calculate number of output features for given input features and degree

impl PolynomialFeatures<Trained>

pub fn n_output_features(&self) -> usize

Get the number of output features

pub fn powers(&self) -> Option<&Array2<usize>>

Get the power matrix

pub fn get_feature_names( &self, input_features: Option<&[String]>, ) -> Vec<String>

Get feature names (if input feature names are provided)

Trait Implementations

impl<State: Clone> Clone for PolynomialFeatures<State>

fn clone(&self) -> PolynomialFeatures<State>

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl<State: Debug> Debug for PolynomialFeatures<State>

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

Formats the value using the given formatter.

impl Default for PolynomialFeatures<Untrained>

fn default() -> Self

Returns the “default value” for a type.

impl Fit<ArrayBase<OwnedRepr<f64>, Dim<[usize; 2]>>, ()> for PolynomialFeatures<Untrained>

type Fitted = PolynomialFeatures<Trained>

The fitted model type

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

Fit the model to the provided data with validation

fn fit_with_validation( self, x: &X, y: &Y, _x_val: Option<&X>, _y_val: Option<&Y>, ) -> Result<(Self::Fitted, FitMetrics), SklearsError>

where Self: Sized,

Fit with custom validation and early stopping

impl Transform<ArrayBase<OwnedRepr<f64>, Dim<[usize; 2]>>> for PolynomialFeatures<Trained>

fn transform(&self, x: &Array2<Float>) -> Result<Array2<Float>>

Transform the input data