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Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-01 22:50:38 +01:00

768 B

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