Fetching metadata from the HF Docker repository... 
Update app.py
6cbb02b verified - __pycache__ Upload folder using huggingface_hub
- 1.52 kB initial commit
- 639 Bytes Update Dockerfile
- 213 Bytes initial commit
Random_Forest_Model.pkl Detected Pickle imports (16)
- "sklearn.preprocessing._data.MinMaxScaler",
- "numpy.dtype",
- "sklearn.preprocessing._data.StandardScaler",
- "numpy._core.multiarray._reconstruct",
- "sklearn.pipeline.Pipeline",
- "custom_transformer.StoreAgeAdder",
- "Product_Allocated_Area._RemainderColsList",
- "numpy.ndarray",
- "numpy._core.multiarray.scalar",
- "sklearn.compose._column_transformer.ColumnTransformer",
- "sklearn.impute._base.SimpleImputer",
- "sklearn.preprocessing._encoders.OneHotEncoder",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "custom_transformer.OutlierCapper",
- "_codecs.encode",
- "numpy.float64"
How to fix it?
86.8 MB Upload folder using huggingface_hub - 3.9 kB Update app.py
- 1.1 kB Upload folder using huggingface_hub
- 215 Bytes Update requirements.txt
