Fetching metadata from the HF Docker repository...
Create model
f7360d2 verified - src Duplicate from streamlit/streamlit-template-space
- 1.52 kB Duplicate from streamlit/streamlit-template-space
- 456 Bytes Duplicate from streamlit/streamlit-template-space
- 213 Bytes Update README.md
- 940 Bytes Create app.py
- 108 Bytes Upload 6 files
label_encoders.joblib Detected Pickle imports (4)
- "numpy.ndarray",
- "numpy.dtype",
- "sklearn.preprocessing._label.LabelEncoder",
- "joblib.numpy_pickle.NumpyArrayWrapper"
How to fix it?
636 Bytes Upload 6 files - 0 Bytes Create model
- 10.6 kB Upload 6 files
- 130 Bytes Upload 6 files
- 941 Bytes Rename app.py to streamlit_app.py
view_predictor.joblib Detected Pickle imports (8)
- "sklearn.tree._classes.DecisionTreeRegressor",
- "numpy.dtype",
- "sklearn.ensemble._forest.RandomForestRegressor",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy.core.multiarray._reconstruct",
- "numpy.ndarray",
- "_codecs.encode",
- "sklearn.tree._tree.Tree"
How to fix it?
17.6 MB Upload 6 files