Struct ConsensusFeatureSelector 

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

Consensus feature selection using multiple selectors and voting mechanisms Focuses on feature selection agreement rather than ranking aggregation

Implementations

impl ConsensusFeatureSelector<Untrained>

pub fn new() -> Self

Create a new consensus feature selector

pub fn add_selector(self, selector: Box<dyn SelectorFunction>) -> Self

Add a selector to the consensus

pub fn consensus_method(self, method: ConsensusMethod) -> Self

Set the consensus method

pub fn threshold_params(self, params: ConsensusThresholdParams) -> Self

Set the threshold parameters

pub fn k_per_selector(self, k: usize) -> Self

Set number of top features to select per selector

pub fn percentile_per_selector( self, percentile: f64, ) -> Result<Self, SklearsError>

Set percentile of features to select per selector

pub fn add_common_selectors_classif(self) -> Self

Convenience method to add common selectors for classification

pub fn add_common_selectors_regression(self) -> Self

Convenience method to add common selectors for regression

impl ConsensusFeatureSelector<Trained>

pub fn consensus_scores(&self) -> SklResult<&Array1<f64>>

Get the consensus scores for all features

pub fn selected_features(&self) -> SklResult<&[usize]>

Get the final selected features

pub fn selector_decisions(&self) -> SklResult<&[Vec<bool>]>

Get individual selector decisions

pub fn get_support_mask(&self) -> SklResult<Vec<bool>>

Get support mask for selected features

pub fn selector_agreement_matrix(&self) -> SklResult<Array2<f64>>

Get agreement matrix between selectors

Trait Implementations

impl<State: Clone> Clone for ConsensusFeatureSelector<State>

fn clone(&self) -> Self

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl<State: Debug> Debug for ConsensusFeatureSelector<State>

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

Formats the value using the given formatter.

impl Default for ConsensusFeatureSelector<Untrained>

fn default() -> Self

Returns the “default value” for a type.

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

type Fitted = ConsensusFeatureSelector<Trained>

The fitted model type

fn fit(self, x: &Array2<f64>, y: &Array1<f64>) -> SklResult<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 Fit<ArrayBase<OwnedRepr<f64>, Dim<[usize; 2]>>, ArrayBase<OwnedRepr<i32>, Dim<[usize; 1]>>> for ConsensusFeatureSelector<Untrained>

type Fitted = ConsensusFeatureSelector<Trained>

The fitted model type

fn fit(self, x: &Array2<f64>, y: &Array1<i32>) -> SklResult<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 SelectorMixin for ConsensusFeatureSelector<Trained>

fn get_support(&self) -> SklResult<Array1<bool>>

Get support mask

fn transform_features(&self, indices: &[usize]) -> SklResult<Vec<usize>>

Transform by selecting features

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

fn transform(&self, x: &Array2<f64>) -> SklResult<Array2<f64>>

Transform the input data