sklears_feature_selection/evaluation/
diversity_measures.rs

1//! Feature set diversity measures for evaluating feature complementarity
2//!
3//! This module provides stub implementations for feature diversity measurement.
4//! Full implementations are planned for future releases.
5
6use scirs2_core::error::CoreError;
7type Result<T> = std::result::Result<T, CoreError>;
8
9/// Feature set diversity measures (stub implementation)
10#[derive(Debug, Clone)]
11pub struct FeatureSetDiversityMeasures;
12
13impl FeatureSetDiversityMeasures {
14    pub fn compute_diversity(_feature_indices: &[usize]) -> Result<f64> {
15        // Stub implementation
16        Ok(0.5)
17    }
18}
19
20/// Diversity index calculation (stub implementation)
21#[derive(Debug, Clone)]
22pub struct DiversityIndex;
23
24impl DiversityIndex {
25    pub fn compute(_features: &[usize]) -> Result<f64> {
26        Ok(0.5)
27    }
28}
29
30/// Feature spacing analysis (stub implementation)
31#[derive(Debug, Clone)]
32pub struct FeatureSpacing;
33
34impl FeatureSpacing {
35    pub fn compute_spacing(_features: &[usize]) -> Result<f64> {
36        Ok(0.5)
37    }
38}
39
40/// Diversity matrix computation (stub implementation)
41#[derive(Debug, Clone)]
42pub struct DiversityMatrix;
43
44impl DiversityMatrix {
45    pub fn compute(_features: &[usize]) -> Result<Vec<Vec<f64>>> {
46        Ok(vec![vec![0.5]])
47    }
48}
49
50/// Ensemble diversity analysis (stub implementation)
51#[derive(Debug, Clone)]
52pub struct EnsembleDiversity;
53
54impl EnsembleDiversity {
55    pub fn compute_ensemble_diversity(_feature_sets: &[Vec<usize>]) -> Result<f64> {
56        Ok(0.5)
57    }
58}
sklears_feature_selection/evaluation/diversity_measures.rs

sklears_feature_selection/evaluation/
diversity_measures.rs
