Fetching metadata from the HF Docker repository...
Upload rfweights (1).pkl
1d727ec verified - 1.52 kB initial commit
- 229 Bytes initial commit
- 10.9 kB Update app.py
dtree.pkl Detected Pickle imports (6)
- "sklearn.tree._classes.DecisionTreeClassifier",
- "sklearn.tree._tree.Tree",
- "numpy.core.multiarray.scalar",
- "numpy.core.multiarray._reconstruct",
- "numpy.ndarray",
- "numpy.dtype"
How to fix it?
1.07 MB Upload dtree.pkl - 160 kB Upload main.ipynb
- 1.16 MB Upload mldata.csv
- 185 kB Upload my_seq_model.pkl
- 46 Bytes Create requirements.txt
rf_model.pkl Detected Pickle imports (7)
- "sklearn.tree._classes.DecisionTreeClassifier",
- "numpy.ndarray",
- "sklearn.tree._tree.Tree",
- "sklearn.ensemble._forest.RandomForestClassifier",
- "numpy.core.multiarray.scalar",
- "numpy.dtype",
- "numpy.core.multiarray._reconstruct"
How to fix it?
86.4 MB Upload rf_model.pkl rfweights (1).pkl Detected Pickle imports (7)
- "numpy.core.multiarray._reconstruct",
- "numpy.ndarray",
- "sklearn.tree._tree.Tree",
- "sklearn.tree._classes.DecisionTreeClassifier",
- "sklearn.ensemble._forest.RandomForestClassifier",
- "numpy.dtype",
- "numpy.core.multiarray.scalar"
How to fix it?
87.7 MB Upload rfweights (1).pkl rfweights.pkl Detected Pickle imports (7)
- "numpy.core.multiarray.scalar",
- "sklearn.ensemble._forest.RandomForestClassifier",
- "sklearn.tree._tree.Tree",
- "numpy.dtype",
- "numpy.core.multiarray._reconstruct",
- "sklearn.tree._classes.DecisionTreeClassifier",
- "numpy.ndarray"
How to fix it?
87.7 MB Upload rfweights.pkl