Files
foxhunt/services/ml_training_service
jgrusewski e047c1eea3 refactor: rename all service crates to kebab-case
Rename 7 service binaries from snake_case to kebab-case to match
K8s deployment names. Update Cargo.toml package/bin names, K8s
manifest S3 paths and commands, and cross-crate dependency keys.

- api_gateway → api-gateway
- trading_service → trading-service
- broker_gateway_service → broker-gateway
- ml_training_service → ml-training-service
- backtesting_service → backtesting-service
- trading_agent_service → trading-agent-service
- data_acquisition_service → data-acquisition-service

broker-gateway gets an explicit [lib] name = "broker_gateway_service"
since its new package name maps to broker_gateway (not the original
broker_gateway_service used in source code). All other services map
correctly with Rust's automatic hyphen-to-underscore conversion.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-04 22:06:00 +01:00
..

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