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| # CausalBox: A Causal Inference Toolkit | |
| This Hugging Face Space hosts the CausalBox application, a comprehensive toolkit for causal inference. | |
| It features: | |
| - Data Preprocessing | |
| - Causal Graph Discovery (PC Algorithm, etc.) | |
| - Interactive Causal Graph Visualization | |
| - Do-Calculus Engine for Interventions | |
| - Treatment Effect Estimation (ATE, CATE) | |
| ## How to use: | |
| 1. Upload your CSV dataset or use the provided sample data. | |
| 2. Discover the causal graph from your data. | |
| 3. Visualize the learned causal structure. | |
| 4. Experiment with interventions using the Do-Calculus engine. | |
| 5. Estimate treatment effects for key variables. | |
| ## Technical Details: | |
| - **Frontend:** Streamlit | |
| - **Backend:** Flask API for causal inference computations | |
| - **Deployment:** Docker on Hugging Face Spaces with Nginx as a reverse proxy. | |
| For more details, check out the source code in the repository. |