src/autotune/ddos.rs

// Copyright Sunbeam Studios 2026
// SPDX-License-Identifier: Apache-2.0

// Legacy KNN autotune removed — ensemble models are tuned via
// `cargo run --features training -- sweep-cookie-weight` and the
// training pipeline in src/training/.
feat: complete ensemble integration and remove legacy model code - Remove legacy KNN DDoS replay and scanner model file watcher - Wire ensemble inference into detector check() paths - Update config: remove model_path/k/poll_interval_secs, add observe_only - Add cookie_weight sweep CLI command for hyperparameter exploration - Update training pipeline: batch iterator, weight export improvements - Retrain ensemble weights (scanner 99.73%, DDoS 99.99% val accuracy) - Add unified audit log module - Update dataset parsers with copyright headers and minor fixes Signed-off-by: Sienna Meridian Satterwhite <sienna@sunbeam.pt> 2026-03-10 23:38:22 +00:00			`// Copyright Sunbeam Studios 2026`
			`// SPDX-License-Identifier: Apache-2.0`
feat(autotune): add Bayesian hyperparameter optimization Gaussian process-based optimizer for both DDoS and scanner models. Samples hyperparameter space (k, threshold, window_secs, min_events, heuristic thresholds) and optimizes F-beta score with expected improvement acquisition. Logs each trial to optional JSONL file. Signed-off-by: Sienna Meridian Satterwhite <sienna@sunbeam.pt> 2026-03-10 23:38:21 +00:00
feat: complete ensemble integration and remove legacy model code - Remove legacy KNN DDoS replay and scanner model file watcher - Wire ensemble inference into detector check() paths - Update config: remove model_path/k/poll_interval_secs, add observe_only - Add cookie_weight sweep CLI command for hyperparameter exploration - Update training pipeline: batch iterator, weight export improvements - Retrain ensemble weights (scanner 99.73%, DDoS 99.99% val accuracy) - Add unified audit log module - Update dataset parsers with copyright headers and minor fixes Signed-off-by: Sienna Meridian Satterwhite <sienna@sunbeam.pt> 2026-03-10 23:38:22 +00:00			`// Legacy KNN autotune removed — ensemble models are tuned via`
			// `cargo run --features training -- sweep-cookie-weight` and the
			`// training pipeline in src/training/.`