| license: mit | |
| tags: | |
| - pectin | |
| - chemical-engineering | |
| - machine-learning | |
| - regression | |
| # Gradient Boosting - Pectin Production Model | |
| Gradient Boosting model - best performance for multi-target regression | |
| ## Usage | |
| ```python | |
| from huggingface_hub import hf_hub_download | |
| import joblib | |
| model_path = hf_hub_download( | |
| repo_id="arabovs-ai-lab/PectinProductionModels", | |
| filename="gradient_boosting/model.pkl", | |
| repo_type="model" | |
| ) | |
| model = joblib.load(model_path) | |
| ``` | |
| ## Model Details | |
| - **Type**: Gradient Boosting | |
| - **Training Data**: 1000 experimental records | |
| - **Features**: 6 | |
| - **Targets**: 4 | |