Files

jgrusewski 6d731b860d fix(infra): use NodePort localhost:30500 for all container image refs

containerd on Kapsule nodes uses host DNS which can't resolve
.svc.cluster.local names. Switch all image references from
gitlab-registry.foxhunt.svc.cluster.local:5000 to localhost:30500
(NodePort on the GitLab registry). Also make training runtime image
configurable via TRAINING_RUNTIME_IMAGE env var.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

2026-03-05 14:31:54 +01:00

ml/config

🚀 Wave 9: TFT INT8 Quantization Complete (20 Agents, TDD)

2025-10-15 21:38:04 +02:00

src

fix(infra): use NodePort localhost:30500 for all container image refs

2026-03-05 14:31:54 +01:00

tests

refactor: rename JWT issuer foxhunt-api-gateway → foxhunt-api, drop compat aliases

2026-03-05 00:22:04 +01:00

build.rs

refactor: rewire all service build.rs to proto/ root directory

2026-03-03 20:34:09 +01:00

Cargo.toml

refactor: rename all service crates to kebab-case

2026-03-04 22:06:00 +01:00

Dockerfile

fix: comprehensive audit — real brokers, deployment fixes, production safety

2026-02-25 00:32:10 +01:00

README.md

docs: create/update README.md for all services, CLI, and testing crates

2026-03-01 22:50:38 +01:00

requirements-tuner.txt

🎯 Wave 153: ML Hyperparameter Tuning - Production Ready & Validated

2025-10-13 16:10:55 +02:00

tuning_config_optimized.yaml

🚀 Wave 160 Phase 2: ML Training Infrastructure + TLOB Investigation

2025-10-14 10:42:56 +02:00

tuning_config.yaml

🚀 Wave 160 Phase 5: Complete ML Ensemble + Production Deployment (27 Agents)

2025-10-14 18:41:48 +02:00

README.md

ml_training_service

Model training orchestration and lifecycle management for DQN, PPO, TFT, Mamba2, TLOB, and Liquid models with progress tracking and artifact storage.

Key Types

MlTrainingServiceImpl -- main gRPC service
JobTracker -- training job state machine
CheckpointManager -- model artifact persistence

Features

minimal (default) -- minimal ML feature set for financial models
gpu -- SIMD GPU acceleration (requires CUDA)
mock-data -- mock training data (testing, bypasses database)

Configuration

GRPC_PORT -- gRPC listen port
DATABASE_URL -- PostgreSQL for job metadata and training history
Prometheus metrics on port 9094

Testing

SQLX_OFFLINE=true cargo test -p ml_training_service --lib