Fetching metadata from the HF Docker repository...
Update app.py
8e9513f
verified
-
1.52 kB
initial commit
AdaBoostRegressor.pkl
Detected Pickle imports (6)
- "numpy.core.multiarray._reconstruct",
- "sklearn.tree._tree.Tree",
- "numpy.ndarray",
- "sklearn.ensemble._weight_boosting.AdaBoostRegressor",
- "sklearn.tree._classes.DecisionTreeRegressor",
- "numpy.dtype"
How to fix it?
663 kB
Upload 6 files
BaggingRegressor.pkl
Detected Pickle imports (6)
- "sklearn.tree._tree.Tree",
- "numpy.core.multiarray._reconstruct",
- "numpy.ndarray",
- "sklearn.ensemble._bagging.BaggingRegressor",
- "sklearn.tree._classes.DecisionTreeRegressor",
- "numpy.dtype"
How to fix it?
29.5 MB
Upload 6 files
GradientBoostingRegressor.pkl
Detected Pickle imports (10)
- "numpy.core.multiarray._reconstruct",
- "sklearn.tree._tree.Tree",
- "sklearn.dummy.DummyRegressor",
- "numpy.random._pickle.__randomstate_ctor",
- "sklearn.ensemble._gb_losses.LeastSquaresError",
- "sklearn.ensemble._gb.GradientBoostingRegressor",
- "numpy.ndarray",
- "sklearn.tree._classes.DecisionTreeRegressor",
- "numpy.random._pickle.__bit_generator_ctor",
- "numpy.dtype"
How to fix it?
625 kB
Upload 6 files
-
245 Bytes
initial commit
RandomForestRegressor.pkl
Detected Pickle imports (6)
- "numpy.ndarray",
- "sklearn.tree._tree.Tree",
- "numpy.dtype",
- "sklearn.ensemble._forest.RandomForestRegressor",
- "sklearn.tree._classes.DecisionTreeRegressor",
- "numpy.core.multiarray._reconstruct"
How to fix it?
19 MB
Upload 6 files
-
916 kB
Upload 6 files
-
5.61 kB
Update app.py
ohe.pkl
Detected Pickle imports (5)
- "numpy.core.multiarray._reconstruct",
- "numpy.float64",
- "numpy.ndarray",
- "sklearn.preprocessing._encoders.OneHotEncoder",
- "numpy.dtype"
How to fix it?
1.13 kB
Upload 6 files
-
59 Bytes
Upload requirements.txt