Struct SelectKBest 

pub struct SelectKBest {
    pub k: usize,
    pub score_func: String,
}

Select K best features based on univariate statistical tests

Fields

k: usize

score_func: String

Implementations

impl SelectKBest

pub fn new(k: usize, score_func: &str) -> Self

Trait Implementations

impl Clone for SelectKBest

fn clone(&self) -> SelectKBest

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for SelectKBest

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

Formats the value using the given formatter.

impl Estimator for SelectKBest

type Config = FilterConfig

Configuration type for the estimator

type Error = FilterError

Error type for the estimator

type Float = f64

The numeric type used by this estimator

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

Get estimator configuration

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

Check if estimator is compatible with given data dimensions

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

Validate estimator configuration with detailed error context

fn metadata(&self) -> EstimatorMetadata

Get estimator metadata

impl Fit<ArrayBase<OwnedRepr<f64>, Dim<[usize; 2]>>, ArrayBase<OwnedRepr<i32>, Dim<[usize; 1]>>> for SelectKBest

type Fitted = SelectKBestTrained

The fitted model type

fn fit(self, X: &Array2<f64>, y: &Array1<i32>) -> 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<'a> Fit<ArrayBase<ViewRepr<&'a f64>, Dim<[usize; 2]>>, ArrayBase<ViewRepr<&'a f64>, Dim<[usize; 1]>>> for SelectKBest

type Fitted = SelectKBestTrained

The fitted model type

fn fit( self, X: &ArrayView2<'a, f64>, y: &ArrayView1<'a, f64>, ) -> 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