Struct TemporalPatternRecognizer 

pub struct TemporalPatternRecognizer {
    pub window_size: usize,
    pub overlap: usize,
    pub distance_threshold: f64,
    /* private fields */
}

Temporal pattern recognition utilities

This module provides utilities for recognizing temporal patterns in time series data, including motif discovery and anomaly detection.

Fields

window_size: usize

Window size for pattern detection

overlap: usize

Overlap between windows

distance_threshold: f64

Distance threshold for pattern matching

Implementations

impl TemporalPatternRecognizer

pub fn new(window_size: usize) -> Self

Create a new temporal pattern recognizer

pub fn extract_patterns(&self, series: &Array1<f64>) -> Vec<Array1<f64>>

Extract patterns from time series

pub fn find_motifs( &self, series: &Array1<f64>, min_occurrences: usize, ) -> Vec<(Array1<f64>, Vec<usize>)>

Find motifs (repeated patterns) in time series

pub fn detect_anomalies( &self, series: &Array1<f64>, baseline_patterns: &[Array1<f64>], ) -> Vec<usize>

Detect anomalies based on pattern deviation