Create 3 missing service READMEs (api_gateway, data_acquisition_service, trading_agent_service). Create bin/fxt/README.md. Create testing/service-integration/README.md. Update existing service and testing READMEs to standard template. Delete 4 subdirectory READMEs from testing/integration/ and testing/e2e/. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
28 lines
768 B
Markdown
28 lines
768 B
Markdown
# ml_training_service
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Model training orchestration and lifecycle management for DQN, PPO, TFT, Mamba2, TLOB, and Liquid models with progress tracking and artifact storage.
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## Key Types
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- `MlTrainingServiceImpl` -- main gRPC service
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- `JobTracker` -- training job state machine
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- `CheckpointManager` -- model artifact persistence
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## Features
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- `minimal` (default) -- minimal ML feature set for financial models
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- `gpu` -- SIMD GPU acceleration (requires CUDA)
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- `mock-data` -- mock training data (testing, bypasses database)
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## Configuration
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- `GRPC_PORT` -- gRPC listen port
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- `DATABASE_URL` -- PostgreSQL for job metadata and training history
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- Prometheus metrics on port 9094
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## Testing
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```bash
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SQLX_OFFLINE=true cargo test -p ml_training_service --lib
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```
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