Struct ActiveLearningConfig 

pub struct ActiveLearningConfig {
    pub target_std: f64,
    pub noise_floor: f64,
    pub max_iterations: usize,
    pub noise_floor_tolerance_margin: f64,
}

Parameters produced by NoiseCalibrationSession for use in the active learning iteration loop.

Pass this to the orchestration layer to configure termination criteria.

Fields

target_std: f64

Target posterior std the model must reach (σ_noise × factor).

noise_floor: f64

Sensor noise floor σ_noise; used to detect noise-floor plateaus.

max_iterations: usize

Maximum number of active learning iterations before forced stop.

noise_floor_tolerance_margin: f64

Fractional margin above noise_floor before calling “at noise floor”. Default 0.05 means “within 5% of the noise floor counts as at-floor”.

Trait Implementations

impl Clone for ActiveLearningConfig

fn clone(&self) -> ActiveLearningConfig

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for ActiveLearningConfig

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

Formats the value using the given formatter.

impl Default for ActiveLearningConfig

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for ActiveLearningConfig

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for ActiveLearningConfig

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.