Struct LegacyModelTrainer 

pub struct LegacyModelTrainer { /* private fields */ }

Model trainer for bug prediction

Implementations

impl ModelTrainer

pub fn new() -> Self

Create a new trainer with default configuration

pub fn with_config(config: TrainingConfig) -> Self

Create trainer with custom configuration

pub fn train_ratio(self, ratio: f64) -> Self

Set train/test split ratio

pub fn cv_folds(self, folds: usize) -> Self

Set number of cross-validation folds

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

Set random seed

pub fn train_test_split( &self, features: &[CodeFeatures], labels: &[bool], ) -> (Vec<CodeFeatures>, Vec<bool>, Vec<CodeFeatures>, Vec<bool>)

Split data into train and test sets with stratification

pub fn cross_validate( &self, features: &[CodeFeatures], labels: &[bool], ) -> Result<Vec<ModelMetrics>>

Perform k-fold cross-validation

Errors

Returns error if evaluation fails on any fold.

pub fn train( &self, features: &[CodeFeatures], labels: &[bool], ) -> Result<TrainingResult>

Full training pipeline: split, train, cross-validate, evaluate

Errors

Returns error if training or evaluation fails.

Trait Implementations

impl Debug for ModelTrainer

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

Formats the value using the given formatter.

impl Default for ModelTrainer

fn default() -> Self

Returns the “default value” for a type.