Struct PolynomialFeatures 

#[non_exhaustive]
pub struct PolynomialFeatures { /* private fields */ }

Generate polynomial and interaction features.

Transforms an input feature set [x1, x2, …] into all polynomial combinations up to a given degree. For example, with degree=2 and 2 features:

• include_bias=true: [1, x1, x2, x1², x1·x2, x2²]
• interaction_only=true: [1, x1, x2, x1·x2] (no self-powers)

Example

let mut poly = PolynomialFeatures::new().degree(2);
poly.fit_transform(&mut ds)?;

Implementations

impl PolynomialFeatures

pub fn new() -> Self

Create a new PolynomialFeatures with default settings (degree=2).

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

Set the maximum polynomial degree.

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

If true, only interaction features are produced (no self-powers like x²).

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

If true, include a bias (all-ones) column.

pub fn n_output_features(&self) -> usize

Number of output features after transform.

Trait Implementations

impl Clone for PolynomialFeatures

fn clone(&self) -> PolynomialFeatures

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for PolynomialFeatures

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

Formats the value using the given formatter.

impl Default for PolynomialFeatures

fn default() -> Self

Returns the “default value” for a type.

impl Transformer for PolynomialFeatures

fn fit(&mut self, data: &Dataset) -> Result<()>

Learn parameters from the training data.

fn transform(&self, data: &mut Dataset) -> Result<()>

Apply the learned transformation to a dataset (in-place).

fn inverse_transform(&self, _data: &mut Dataset) -> Result<()>

Reverse the transformation (if invertible).

fn fit_transform(&mut self, data: &mut Dataset) -> Result<()>

Convenience: fit + transform in one call.