Instructions to use KalsusEvening/Melbourne_Housing_Regression with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use KalsusEvening/Melbourne_Housing_Regression with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("KalsusEvening/Melbourne_Housing_Regression", "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 2 files
Browse files
classification_model_gradient_boosting.pkl
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oid sha256:bdc667ac9aae2f7ef34aa9e10c620a1f98cf94c5e5f115eab9e40ebb7a2ffda9
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classification_scaler.pkl
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oid sha256:1b5354c1314659ba60bda993e334d9fb9d35a61e42ee35fe3816d3e878f67ec2
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size 2324
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