oxicuda-anomaly 0.1.8

Anomaly detection primitives for OxiCUDA — DeepSVDD, AE/VAE reconstruction, LOF, COPOD, isolation scoring, statistical methods, ensemble
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//! Time-series anomaly detection.
//!
//! # Algorithms
//!
//! - [`lstm_ae`] — RNN Autoencoder (Malhotra et al. 2016): encodes a fixed-length window
//!   to a context vector, then decodes in reverse order; anomaly score = mean per-timestep
//!   reconstruction MSE over all windows containing that timestep.
pub mod lstm_ae;
pub use lstm_ae::*;