Fetching metadata from the HF Docker repository... 
Update requirements.txt
3ce9ef9 - 1.52 kB initial commit
- 631 Bytes Update Dockerfile
- 256 Bytes initial commit
- 6.59 kB Upload app.py
- 66 Bytes Update requirements.txt
rf_model.pkl Detected Pickle imports (11)
- "sklearn.tree._classes.DecisionTreeRegressor",
- "numpy.core.multiarray.scalar",
- "numpy.dtype",
- "sklearn.ensemble._forest.RandomForestRegressor",
- "sklearn.tree._tree.Tree",
- "sklearn.impute._base.SimpleImputer",
- "sklearn.preprocessing._data.StandardScaler",
- "numpy.float64",
- "numpy.ndarray",
- "numpy.core.multiarray._reconstruct",
- "sklearn.preprocessing._encoders.OneHotEncoder"
How to fix it?
379 MB Upload rf_model.pkl
