Spaces:
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Sleeping
| title: Palmoil | |
| emoji: 📚 | |
| colorFrom: pink | |
| colorTo: indigo | |
| sdk: gradio | |
| sdk_version: 5.20.1 | |
| app_file: app.py | |
| pinned: false | |
| # Palm Oil Price Predictor | |
| A machine learning application to predict palm oil prices using historical data. | |
| ## Features | |
| - Predict future palm oil prices based on a linear regression model | |
| - View model performance metrics (MAE, MAPE, RMSE) | |
| - Visualize historical data and predictions | |
| - Retrain the model with updated data | |
| ## Tech Stack | |
| - Python | |
| - Gradio (UI) | |
| - Scikit-learn (ML) | |
| - Pandas & NumPy (Data Processing) | |
| - Hugging Face Spaces (Deployment) | |
| ## Setup | |
| 1. Ensure `palm_oil.xlsx` contains your data with 'date' and 'nilai' columns | |
| 2. Run `train_model.py` locally to generate `static/model/model.pkl` | |
| 3. Deploy to Hugging Face Spaces with Gradio SDK | |
| ## Usage | |
| - **Predict**: From January 2025 | |
| - **Model Insights**: View performance metrics and historical data | |
| - **Retrain**: Update the model with the latest data | |
| ## Limitations | |
| - Model retraining is temporary (resets on Space restart) | |
| - Assumes linear relationship in data | |
| Developed by [Ihsan Andrinal] | [https://www.linkedin.com/in/ihsan-andrinal/] | |