Crate rustkernel_temporal 

RustKernel Temporal Analysis

GPU-accelerated temporal analysis kernels for forecasting, decomposition, detection, and volatility modeling.

Kernels

Forecasting (2 kernels)

• ARIMAForecast - ARIMA(p,d,q) model fitting and forecasting
• ProphetDecomposition - Prophet-style trend/seasonal/holiday decomposition

Detection (2 kernels)

• ChangePointDetection - PELT/Binary segmentation/CUSUM
• TimeSeriesAnomalyDetection - Statistical threshold detection

Decomposition (2 kernels)

• SeasonalDecomposition - STL-style decomposition
• TrendExtraction - Moving average variants

Analysis (1 kernel)

• VolatilityAnalysis - GARCH model volatility estimation

Re-exports

pub use decomposition::SeasonalDecomposition;

pub use decomposition::TrendExtraction;

pub use detection::ChangePointDetection;

pub use detection::TimeSeriesAnomalyDetection;

pub use forecasting::ARIMAForecast;

pub use forecasting::ProphetDecomposition;

pub use volatility::VolatilityAnalysis;

pub use types::ARIMAParams;

pub use types::ARIMAResult;

pub use types::AnomalyMethod;

pub use types::ChangePointMethod;

pub use types::ChangePointResult;

pub use types::DecompositionResult;

pub use types::GARCHCoefficients;

pub use types::GARCHParams;

pub use types::ProphetResult;

pub use types::TimeSeries;

pub use types::TimeSeriesAnomalyResult;

pub use types::TrendMethod;

pub use types::TrendResult;

pub use types::VolatilityResult;

Modules

decomposition

Time series decomposition kernels.

detection

Change point and anomaly detection kernels.

forecasting

Forecasting kernels.

messages

Message types for temporal analysis kernels.

prelude

Prelude for convenient imports.

ring_messages

Ring message types for Temporal Analysis domain kernels.

types

Temporal analysis types and data structures.

volatility

Volatility analysis kernels.

Functions

register_all

Register all temporal kernels with a registry.