Struct MultiSensorSession 

pub struct MultiSensorSession { /* private fields */ }

Multi-sensor calibration coordinator.

Maintains a map of named sensor sessions. Each sensor has its own independent BLR+ARD model and calibration config (different input ranges, feature functions, and precision targets are all supported).

Implementations

impl MultiSensorSession

pub fn new() -> Self

Create an empty multi-sensor session.

pub fn add_sensor( &mut self, sensor_id: impl Into<String>, config: SessionConfig, feature_fn: impl Fn(f64) -> Vec<f64> + 'static, feature_dim: usize, )

Register a new sensor session.

Arguments

• sensor_id: unique identifier for this sensor
• config: session configuration for this sensor
• feature_fn: feature engineering function for this sensor
• feature_dim: number of features D

pub fn add_measurement( &mut self, sensor_id: &str, raw_input: f64, measured_output: f64, )

Add a measurement to the specified sensor session.

pub fn next_iteration_all(&mut self) -> Vec<MultiSensorRecommendation>

Run one calibration iteration for all sensors.

Returns recommendations aggregated across all sensors that still need samples. Sensors that have met their goal or hit the noise floor are excluded from recommendations but their status is still reported.

pub fn all_goals_met(&self) -> bool

Check whether all registered sensors have met their precision goals.

pub fn precision_summary(&self) -> Vec<(String, f64)>

Per-sensor precision summary (sensor_id → current p95 std).

Trait Implementations

impl Default for MultiSensorSession

fn default() -> Self

Returns the “default value” for a type.