Instructions to use sunithaa7/boston-housing-regressor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use sunithaa7/boston-housing-regressor with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("sunithaa7/boston-housing-regressor", "sklearn_model.joblib") ) # only load pickle files from sources you trust # read more about it here https://skops.readthedocs.io/en/stable/persistence.html - Notebooks
- Google Colab
- Kaggle
Upload README.md with huggingface_hub
Browse files
README.md
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---
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tags: [sklearn, gradient-boosting, regression, mlops-pipeline]
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---
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# Model
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Boston Housing price regressor, trained automatically via GitHub Actions CI/CD.
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## Metrics
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- **mae**: 1.9094
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- **mse**: 6.2927
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- **rmse**: 2.5085
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- **r2_score**: 0.9142
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