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BinkyTwin
/
CaliforniaPrice

Scikit-learn
regression
housing-prices
california
random-forest
Model card Files Files and versions
xet
Community

Instructions to use BinkyTwin/CaliforniaPrice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Scikit-learn

    How to use BinkyTwin/CaliforniaPrice with Scikit-learn:

    from huggingface_hub import hf_hub_download
    import joblib
    model = joblib.load(
    	hf_hub_download("BinkyTwin/CaliforniaPrice", "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
CaliforniaPrice
Ctrl+K
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  • 1 contributor
History: 3 commits
BinkyTwin's picture
BinkyTwin
Upload folder using huggingface_hub
2003457 verified 5 months ago
  • .venv
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  • datasets
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  • models
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  • .gitattributes
    57.5 kB
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  • README.md
    1.01 kB
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  • final_release.joblib

    Detected Pickle imports (11)

    • "numpy._core.multiarray._reconstruct",
    • "numpy.float64",
    • "sklearn.compose._column_transformer.ColumnTransformer",
    • "numpy.dtype",
    • "sklearn.pipeline.Pipeline",
    • "sklearn.impute._base.SimpleImputer",
    • "sklearn.preprocessing._encoders.OneHotEncoder",
    • "numpy.ndarray",
    • "sklearn.preprocessing._data.StandardScaler",
    • "joblib.numpy_pickle.NumpyArrayWrapper",
    • "Pipeline.dtype"

    How to fix it?

    290 MB
    xet
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  • final_release_meta.json
    161 Bytes
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  • housing.xlsx
    1.17 MB
    xet
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  • tp1 lotfi.ipynb
    779 kB
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  • tp1 manissa.ipynb
    19.7 kB
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  • tp1.ipynb
    19.7 kB
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