OncoClear is an end-to-end MLOps solution that transforms raw diagnostic measurements into reliable cancer classification predictions. Built with ZenML's robust framework, it delivers enterprise-grade machine learning pipelines that can be deployed in both development and production environments.
What It Does
OncoClear delivers production-ready breast cancer classification through comprehensive MLOps pipelines. It processes medical diagnostic data with automatic model versioning, comparison, and promotion workflows, ensuring only the highest-performing models reach production.
How It Works
- Loads and processes the Wisconsin Breast Cancer diagnostic dataset through automated cleaning
- Engineers features optimized for medical diagnostic classification tasks
- Trains multiple classification models (SGD and Random Forest) with comparative evaluation
- Evaluates models using accuracy, precision, recall, and F1 score metrics
- Promotes best-performing models to production automatically
- Deploys models as containerized FastAPI services for real-time prediction
- Provides clean API documentation for easy integration into healthcare systems
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