Fetching metadata from the HF Docker repository...
Update app.py
1e2e075
verified
-
research
Upload 16 files
-
src
Upload 16 files
-
static
Upload 16 files
-
0 Bytes
Upload 16 files
-
1.52 kB
initial commit
-
260 Bytes
initial commit
-
3.77 kB
Update app.py
-
36.3 kB
Upload deep_model.h5
gb_model.pkl
Detected Pickle imports (10)
- "sklearn.tree._classes.DecisionTreeRegressor",
- "numpy.random._pickle.__bit_generator_ctor",
- "sklearn.dummy.DummyRegressor",
- "numpy.random._pickle.__randomstate_ctor",
- "numpy.dtype",
- "sklearn.ensemble._gb.GradientBoostingRegressor",
- "sklearn.ensemble._gb_losses.LeastSquaresError",
- "numpy.core.multiarray._reconstruct",
- "sklearn.tree._tree.Tree",
- "numpy.ndarray"
How to fix it?
124 kB
Upload 16 files
-
124 kB
Upload 16 files
-
56 Bytes
Update requirements.txt
rf_model.pkl
Detected Pickle imports (6)
- "numpy.ndarray",
- "sklearn.tree._classes.DecisionTreeRegressor",
- "sklearn.ensemble._forest.RandomForestRegressor",
- "numpy.dtype",
- "sklearn.tree._tree.Tree",
- "numpy.core.multiarray._reconstruct"
How to fix it?
132 MB
Upload 16 files
-
259 Bytes
Upload 16 files
-
811 Bytes
Upload 16 files
