Struct ComparativeAnalyzer 

pub struct ComparativeAnalyzer { /* private fields */ }

Main comparative analysis engine

Implementations

impl ComparativeAnalyzer

pub fn new() -> Self

Create a new comparative analyzer

pub fn with_alpha(self, alpha: f64) -> Self

Set significance level

pub fn with_random_state(self, seed: u64) -> Self

Set random state for reproducible results

pub fn with_correction(self, correction: MultipleComparisonCorrection) -> Self

Set multiple comparison correction method

pub fn significance_test( &self, group_a: &Array1<f64>, group_b: &Array1<f64>, test_type: SignificanceTest, effect_size_measure: EffectSizeMeasure, ) -> Result<SignificanceTestResult, SklearsError>

Perform statistical significance test between two groups

pub fn effect_size( &self, group_a: &Array1<f64>, group_b: &Array1<f64>, measure: EffectSizeMeasure, ) -> Result<EffectSizeResult, SklearsError>

Compute effect size between two groups

pub fn compare_models( &self, model_names: Vec<String>, cv_scores: Vec<Array1<f64>>, ) -> Result<ModelComparisonResult, SklearsError>

Compare multiple models using cross-validation scores

Trait Implementations

impl Default for ComparativeAnalyzer

fn default() -> Self

Returns the “default value” for a type.