Struct PolynomialFeatures 

pub struct PolynomialFeatures<State = Untrained> {
    pub degree: u32,
    pub interaction_only: bool,
    pub include_bias: bool,
    /* private fields */
}

Polynomial feature expansion

Generate polynomial and interaction features up to a given degree. For example, if the input has features [a, b], degree 2 gives: [1, a, b, a^2, ab, b^2]

Parameters

• degree - Maximum degree of polynomial features (default: 2)
• interaction_only - Include only interaction features (default: false)
• include_bias - Include bias column (default: true)

Examples

use sklears_kernel_approximation::polynomial_features::PolynomialFeatures;
use sklears_core::traits::{Transform, Fit, Untrained}
use scirs2_core::ndarray::array;

let X = array![[1.0, 2.0], [3.0, 4.0]];

let poly = PolynomialFeatures::new(2);
let fitted_poly = poly.fit(&X, &()).unwrap();
let X_transformed = fitted_poly.transform(&X).unwrap();
// Features: [1, a, b, a^2, ab, b^2] = 6 features
assert_eq!(X_transformed.shape(), &[2, 6]);

PolynomialFeatures

Fields

degree: u32

Maximum degree of polynomial features

interaction_only: bool

Include only interaction features

include_bias: bool

Include bias column

Implementations

impl PolynomialFeatures<Untrained>

pub fn new(degree: u32) -> Self

Create a new polynomial features transformer

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

Set interaction_only parameter

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

Set include_bias parameter

impl PolynomialFeatures<Trained>

pub fn n_input_features(&self) -> usize

Get the number of input features

pub fn n_output_features(&self) -> usize

Get the number of output features

pub fn powers(&self) -> &[Vec<u32>]

Get the powers for each feature

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 Estimator for PolynomialFeatures<Untrained>

type Config = ()

Configuration type for the estimator

type Error = SklearsError

Error type for the estimator

type Float = f64

The numeric type used by this estimator

fn config(&self) -> &Self::Config

Get estimator configuration

fn validate_config(&self) -> Result<(), SklearsError>

Validate estimator configuration with detailed error context

fn check_compatibility( &self, n_samples: usize, n_features: usize, ) -> Result<(), SklearsError>

Check if estimator is compatible with given data dimensions

fn metadata(&self) -> EstimatorMetadata

Get estimator metadata

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