BehavioralAnalyzer

aimds_analysis::behavioral

Struct BehavioralAnalyzer 

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pub struct BehavioralAnalyzer { /* private fields */ }
Expand description

Behavioral analyzer using temporal attractors

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impl BehavioralAnalyzer

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pub fn new(dimensions: usize) -> AnalysisResult<Self>

Create new behavioral analyzer

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pub async fn analyze_behavior( &self, sequence: &[f64], ) -> AnalysisResult<AnomalyScore>

Analyze behavior sequence for anomalies

Uses temporal-attractor-studio to:

  1. Calculate Lyapunov exponents
  2. Identify attractors in state space
  3. Compare against baseline behavior

Performance: <100ms p99 (87ms baseline + overhead)

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pub async fn train_baseline( &self, sequences: Vec<Vec<f64>>, ) -> AnalysisResult<()>

Train baseline behavior profile

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pub fn is_anomalous(&self, score: &AnomalyScore) -> bool

Check if score indicates anomaly

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pub fn set_threshold(&self, threshold: f64)

Update anomaly detection threshold

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pub fn threshold(&self) -> f64

Get current threshold

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pub fn baseline_count(&self) -> usize

Get number of baseline attractors

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