Struct ConfidenceCalibrator 

pub struct ConfidenceCalibrator { /* private fields */ }

Confidence calibrator — computes overall system confidence (0.0–1.0) from current metric values and forecast accuracy.

Confidence is used by the dispatch pipeline:

• <0.5 → conservative mode (prefer cached results, avoid risky operations)
• ≥0.5 → normal mode

The calibrator weights metrics by importance:

• Error rate (30%) — high weight, directly impacts reliability
• Coherence (20%) — cognitive stability
• CPU load (15%) — resource headroom
• Memory pressure (15%) — resource headroom
• Latency (10%) — responsiveness
• Swap/disk I/O (10%) — I/O health

Implementations

impl ConfidenceCalibrator

pub const fn new() -> Self

Create a new calibrator with default smoothing (0.2).

pub const fn with_smoothing(smoothing: f32) -> Self

Create with custom smoothing factor.

pub fn update(&mut self, metrics: &[(MetricKind, f32)], forecast_accuracy: f32)

Update the calibrator with current metric values and forecast accuracy.

pub const fn confidence(&self) -> f32

Get the current confidence value (0.0–1.0).

pub fn is_conservative(&self) -> bool

Whether the system is in conservative mode (confidence < 0.5).

pub const fn state(&self) -> (f32, f32)

Current calibrator state (last_confidence, smoothing) for persistence.

pub const fn restore_state(&mut self, last_confidence: f32, smoothing: f32)

Restore calibrator state from persisted values.

Trait Implementations

impl Default for ConfidenceCalibrator

fn default() -> Self

Returns the “default value” for a type.