Module advanced_pattern_detection 

Structs

ARIMAFitter

ARIMA model fitter

ARIMAParameters

ARIMA model parameters

AdvancedMemoryPattern

Advanced memory pattern with rich metadata

AdvancedPatternConfig

Configuration for advanced pattern detection

AdvancedPatternDetector

Advanced-advanced pattern detector using ML and signal processing

AdvancedStatisticalAnalyzer

Advanced statistical analyzer

ChangePointDetector

Change point detector

FFTProcessor

FFT processor for frequency analysis

FeatureExtractor

Feature extractor for pattern analysis

FrequencyCharacteristics

Frequency domain characteristics

HjorthParameters

Hjorth parameters for signal complexity analysis

HypothesisTestEngine

Hypothesis test engine

KalmanFilter

Kalman filter for signal denoising

LeakIndicator

Leak indicator from pattern analysis

PatternClassifier

Neural network-inspired pattern classifier

PatternDatabase

Pattern database for storing learned patterns

PatternEvolution

Pattern evolution tracking

PatternFrequencyStats

Pattern frequency statistics

PatternState

State of pattern at specific time

PeriodicityInfo

Periodicity information

SeasonalDecomposer

Seasonal decomposer

SeasonalParameters

Seasonal ARIMA parameters

SignalProcessor

Signal processing engine for memory analysis

StatisticalConfig

Statistical analysis configuration

StatisticalProperties

Statistical properties of patterns

TimeSeriesAnalyzer

Time series analyzer

TrainingExample

Training example for pattern classifier

TrendInfo

Trend information

WaveletProcessor

Wavelet processor for time-frequency analysis

Enums

AdvancedPatternType

Advanced pattern types with detailed classification

ChangePointAlgorithm

Change point detection algorithms

DecompositionMethod

Seasonal decomposition methods

FeatureType

Types of features to extract

HypothesisTestType

Types of hypothesis tests

LeakIndicatorType

Types of leak indicators

WaveletType

Wavelet types

WindowType

Window function types for FFT