Pipeline
Turintech provides a complete, production-ready ML pipeline solution with all necessary components for immediate integration.
Delivered Components
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Source Code:
- Clean, documented Python modules.
- Production-grade implementation.
- Modular design for easy customization.
- Best practices and patterns built-in.
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Jupyter Notebooks:
- Interactive development environment.
- Step-by-step tutorials.
- Example workflows.
- Documentation with executable code.
- Testing Framework.
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Unit tests:
- Integration tests.
- Performance tests.
- Test coverage reports.
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REST API:
- FastAPI implementation.
- OpenAPI documentation.
- Authentication ready.
- Scalable endpoint design.
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MLFlow Integration:
- Experiment tracking.
- Model registry.
- Artifact storage.
- Parameter logging.
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Docker Support:
- Dockerfile and compose files.
- Production-ready configurations.
- Environment consistency.
- Easy deployment.
Integration Benefits
- Rapid Deployment: Get started immediately with production-ready code.
- Full Customization: Modify any component to meet your needs.
- Best Practices: Built following industry standards.
- Comprehensive Testing: Ensure reliability from day one.
- Modern Stack: Latest tools and frameworks.
- Documentation: Extensive guides and examples.