Spaces:
Sleeping
Sleeping
|
Download README.md from learner20011/clovershield_ml_api: direct link, hf CLI and curl.
- Browser
- Download file 995 Bytes
-
https://huggingface.co/spaces/learner20011/clovershield_ml_api/resolve/main/README.md
- Command line
-
hf download hf://spaces/learner20011/clovershield_ml_api/README.md
-
curl -L -o README.md https://huggingface.co/spaces/learner20011/clovershield_ml_api/resolve/main/README.md
995 Bytes
| title: CloverShield ML API | |
| emoji: 🛡️ | |
| colorFrom: green | |
| colorTo: blue | |
| sdk: docker | |
| app_port: 7860 | |
| pinned: false | |
| # CloverShield ML Inference API | |
| The Sovereign AI engine for the CloverShield Fraud Analyst Workstation. | |
| ## 🚀 Overview | |
| This is a **FastAPI** microservice containerized with **Docker**. It provides: | |
| - Real-time fraud probability scoring (XGBoost) | |
| - Feature Engineering pipeline (Graph + Temporal features) | |
| - Explainable AI (SHAP values) | |
| - LLM-based narrative generation | |
| ## 🛠️ Deployment | |
| This service is designed for: | |
| 1. **On-Premise:** Via `docker-compose` (see root README) | |
| 2. **Hugging Face Spaces:** Auto-detected via the YAML metadata above. | |
| ## 🔧 Configuration | |
| Key environment variables: | |
| - `MODEL_PATH`: Path to the `.pkl` model file. | |
| - `GROQ_API_KEY`: (Optional) For generating text explanations. | |
| - `MAX_FIT_ROWS`: Limits memory usage during feature engineering. | |
| *Note: This README serves as the configuration entry point for Hugging Face Spaces.* | |