Struct GraphFeatureSelectorBuilder 

pub struct GraphFeatureSelectorBuilder { /* private fields */ }

Builder for GraphFeatureSelector configuration.

Implementations

impl GraphFeatureSelectorBuilder

pub fn new() -> Self

pub fn include_centrality(self, include: bool) -> Self

Whether to include centrality-based features.

pub fn include_community(self, include: bool) -> Self

Whether to include community-based features.

pub fn include_structural(self, include: bool) -> Self

Whether to include structural property features.

pub fn centrality_threshold(self, threshold: f64) -> Self

Minimum centrality score threshold for feature selection.

pub fn centrality_types(self, types: Vec<&str>) -> Self

Types of centrality measures to compute.

pub fn community_method(self, method: &str) -> Self

Community detection method to use.

pub fn min_community_size(self, size: usize) -> Self

Minimum size for communities to be considered.

pub fn community_weight(self, weight: f64) -> Self

Weight for community-based features in scoring.

pub fn structural_weight(self, weight: f64) -> Self

Weight for structural property features in scoring.

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

Number of top features to select.

pub fn damping_factor(self, factor: f64) -> Self

Damping factor for PageRank computation.

pub fn max_iterations(self, iterations: usize) -> Self

Maximum iterations for iterative algorithms.

pub fn tolerance(self, tol: f64) -> Self

Convergence tolerance for iterative algorithms.

pub fn with_adjacency(self, adjacency: Array2<f64>) -> Self

Sets the adjacency matrix for graph feature selection.

pub fn build(self) -> GraphFeatureSelector<Untrained>

Builds the GraphFeatureSelector.

Trait Implementations

impl Debug for GraphFeatureSelectorBuilder

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

Formats the value using the given formatter.

impl Default for GraphFeatureSelectorBuilder

fn default() -> Self

Returns the “default value” for a type.