sklears_feature_selection/evaluation/
benchmarking.rs1use scirs2_core::error::CoreError;
7type Result<T> = std::result::Result<T, CoreError>;
8
9#[derive(Debug, Clone)]
11pub struct FeatureSelectionBenchmark;
12
13impl FeatureSelectionBenchmark {
14 pub fn run_benchmark(_methods: &[String]) -> Result<BenchmarkResults> {
15 Ok(BenchmarkResults {
16 method_scores: vec![0.8, 0.7, 0.9],
17 execution_times: vec![1.0, 2.0, 0.5],
18 })
19 }
20}
21
22#[derive(Debug, Clone)]
24pub struct MethodComparison;
25
26impl MethodComparison {
27 pub fn compare_methods(_method1: &str, _method2: &str) -> Result<f64> {
28 Ok(0.1) }
30}
31
32#[derive(Debug, Clone)]
34pub struct PerformanceRanking;
35
36impl PerformanceRanking {
37 pub fn rank_methods(_methods: &[String], _scores: &[f64]) -> Result<Vec<usize>> {
38 Ok((0.._methods.len()).collect())
39 }
40}
41
42#[derive(Debug, Clone)]
44pub struct BenchmarkSuite;
45
46impl BenchmarkSuite {
47 pub fn run_suite(_suite_name: &str) -> Result<SuiteResults> {
48 Ok(SuiteResults {
49 suite_name: _suite_name.to_string(),
50 overall_score: 0.8,
51 })
52 }
53}
54
55#[derive(Debug, Clone)]
57pub struct ComparativeAnalysis;
58
59impl ComparativeAnalysis {
60 pub fn statistical_comparison(_results1: &[f64], _results2: &[f64]) -> Result<f64> {
61 Ok(0.05) }
63}
64
65#[derive(Debug, Clone)]
67pub struct BenchmarkResults {
68 pub method_scores: Vec<f64>,
69 pub execution_times: Vec<f64>,
70}
71
72#[derive(Debug, Clone)]
74pub struct SuiteResults {
75 pub suite_name: String,
76 pub overall_score: f64,
77}