Struct ThresholdDecoder 

pub struct ThresholdDecoder { /* private fields */ }

Decode cognitive states from topology metrics using learned thresholds.

Each cognitive state is associated with expected ranges for key topology metrics (mincut, modularity, efficiency, entropy). The decoder scores each candidate state by how well the input metrics fall within the expected ranges.

Implementations

impl ThresholdDecoder

pub fn new() -> Self

Create a new threshold decoder with no thresholds defined.

pub fn set_threshold( &mut self, state: CognitiveState, threshold: TopologyThreshold, )

Set the threshold for a specific cognitive state.

pub fn learn_thresholds( &mut self, labeled_data: &[(TopologyMetrics, CognitiveState)], )

Learn thresholds from labeled topology data.

For each cognitive state present in the data, computes the min/max range of each metric with a 10% margin.

pub fn decode(&self, metrics: &TopologyMetrics) -> (CognitiveState, f64)

Decode the cognitive state from topology metrics.

Returns the best-matching state and a confidence score in [0, 1]. If no thresholds are defined, returns (Unknown, 0.0).

pub fn num_states(&self) -> usize

Number of states with defined thresholds.

Trait Implementations

impl Default for ThresholdDecoder

fn default() -> Self

Returns the “default value” for a type.