Struct TrainingConfig 

pub struct TrainingConfig {
    pub enabled: bool,
    pub min_quality_score: f32,
    pub max_samples: usize,
    pub auto_save_interval: u64,
    pub output_dir: PathBuf,
    pub default_format: TrainingFormat,
    pub include_thoughts: bool,
    pub include_negative_examples: bool,
    pub negative_example_ratio: f32,
    pub enable_rlhf: bool,
    pub auto_label: bool,
}

Training configuration

Fields

enabled: bool

Enable training data collection

min_quality_score: f32

Minimum quality score to include (0.0 - 1.0)

max_samples: usize

Maximum training samples to keep in memory

auto_save_interval: u64

Auto-save interval in seconds (0 = disabled)

output_dir: PathBuf

Output directory for training data

default_format: TrainingFormat

Default export format

include_thoughts: bool

Include thought processes in training data

include_negative_examples: bool

Include negative examples (low quality interactions)

negative_example_ratio: f32

Negative example ratio (0.0 - 1.0)

enable_rlhf: bool

Enable reinforcement learning feedback

auto_label: bool

Auto-label data based on quality metrics

Trait Implementations

impl Clone for TrainingConfig

fn clone(&self) -> TrainingConfig

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for TrainingConfig

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

Formats the value using the given formatter.

impl Default for TrainingConfig

fn default() -> Self

Returns the “default value” for a type.