Fetching metadata from the HF Docker repository...
Update requirements.txt
c9d310d
verified
-
1.52 kB
initial commit
-
270 Bytes
initial commit
-
8.43 kB
Update app.py
best_gbc.pickle
Detected Pickle imports (10)
- "numpy.random._pickle.__bit_generator_ctor",
- "numpy.random._pickle.__randomstate_ctor",
- "sklearn.tree._classes.DecisionTreeRegressor",
- "numpy.core.multiarray._reconstruct",
- "numpy.ndarray",
- "sklearn.ensemble._gb_losses.MultinomialDeviance",
- "sklearn.ensemble._gb.GradientBoostingClassifier",
- "sklearn.dummy.DummyClassifier",
- "sklearn.tree._tree.Tree",
- "numpy.dtype"
How to fix it?
5.93 MB
Added the trained model files.
best_knnc.pickle
Detected Pickle imports (4)
- "numpy.dtype",
- "numpy.core.multiarray._reconstruct",
- "numpy.ndarray",
- "sklearn.neighbors._classification.KNeighborsClassifier"
How to fix it?
2.55 MB
Added the trained model files.
best_lrc.pickle
Detected Pickle imports (4)
- "numpy.core.multiarray._reconstruct",
- "sklearn.linear_model._logistic.LogisticRegression",
- "numpy.ndarray",
- "numpy.dtype"
How to fix it?
15.2 kB
Added the trained model files.
best_mnbc.pickle
Detected Pickle imports (4)
- "numpy.ndarray",
- "numpy.core.multiarray._reconstruct",
- "sklearn.naive_bayes.MultinomialNB",
- "numpy.dtype"
How to fix it?
29.5 kB
Added the trained model files.
best_rfc.pickle
Detected Pickle imports (7)
- "numpy.dtype",
- "numpy.core.multiarray._reconstruct",
- "sklearn.ensemble._forest.RandomForestClassifier",
- "sklearn.tree._tree.Tree",
- "numpy.core.multiarray.scalar",
- "sklearn.tree._classes.DecisionTreeClassifier",
- "numpy.ndarray"
How to fix it?
69.9 MB
Added the trained model files.
best_svc.pickle
Detected Pickle imports (5)
- "sklearn.svm._classes.SVC",
- "numpy.core.multiarray._reconstruct",
- "numpy.core.multiarray.scalar",
- "numpy.ndarray",
- "numpy.dtype"
How to fix it?
2.4 MB
Added the trained model files.
df_models_gbc.pickle
Detected Pickle imports (9)
- "pandas.core.indexes.base._new_Index",
- "pandas._libs.internals._unpickle_block",
- "pandas.core.indexes.base.Index",
- "builtins.slice",
- "pandas.core.frame.DataFrame",
- "pandas.core.internals.managers.BlockManager",
- "numpy.core.multiarray._reconstruct",
- "numpy.ndarray",
- "numpy.dtype"
How to fix it?
795 Bytes
Added the trained model files.
df_models_knnc.pickle
Detected Pickle imports (9)
- "pandas.core.indexes.base._new_Index",
- "pandas._libs.internals._unpickle_block",
- "pandas.core.indexes.base.Index",
- "builtins.slice",
- "pandas.core.frame.DataFrame",
- "pandas.core.internals.managers.BlockManager",
- "numpy.core.multiarray._reconstruct",
- "numpy.ndarray",
- "numpy.dtype"
How to fix it?
781 Bytes
Added the trained model files.
df_models_lrc.pickle
Detected Pickle imports (9)
- "pandas.core.indexes.base._new_Index",
- "pandas._libs.internals._unpickle_block",
- "pandas.core.indexes.base.Index",
- "builtins.slice",
- "pandas.core.frame.DataFrame",
- "pandas.core.internals.managers.BlockManager",
- "numpy.core.multiarray._reconstruct",
- "numpy.ndarray",
- "numpy.dtype"
How to fix it?
797 Bytes
Added the trained model files.
df_models_mnbc.pickle
Detected Pickle imports (9)
- "pandas.core.indexes.base._new_Index",
- "pandas._libs.internals._unpickle_block",
- "pandas.core.indexes.base.Index",
- "builtins.slice",
- "pandas.core.frame.DataFrame",
- "pandas.core.internals.managers.BlockManager",
- "numpy.core.multiarray._reconstruct",
- "numpy.ndarray",
- "numpy.dtype"
How to fix it?
802 Bytes
Added the trained model files.
df_models_rfc.pickle
Detected Pickle imports (9)
- "pandas.core.indexes.base._new_Index",
- "pandas._libs.internals._unpickle_block",
- "pandas.core.indexes.base.Index",
- "builtins.slice",
- "pandas.core.frame.DataFrame",
- "pandas.core.internals.managers.BlockManager",
- "numpy.core.multiarray._reconstruct",
- "numpy.ndarray",
- "numpy.dtype"
How to fix it?
791 Bytes
Added the trained model files.
df_models_svc.pickle
Detected Pickle imports (9)
- "pandas.core.indexes.base._new_Index",
- "pandas._libs.internals._unpickle_block",
- "pandas.core.indexes.base.Index",
- "builtins.slice",
- "pandas.core.frame.DataFrame",
- "pandas.core.internals.managers.BlockManager",
- "numpy.core.multiarray._reconstruct",
- "numpy.ndarray",
- "numpy.dtype"
How to fix it?
781 Bytes
Added the trained model files.
-
1.69 kB
Update requirements.txt
tfidf.pickle
Detected Pickle imports (8)
- "sklearn.feature_extraction.text.TfidfVectorizer",
- "sklearn.feature_extraction.text.TfidfTransformer",
- "numpy.float64",
- "numpy.core.multiarray._reconstruct",
- "numpy.ndarray",
- "numpy.dtype",
- "numpy.core.multiarray.scalar",
- "scipy.sparse._csr.csr_matrix"
How to fix it?
235 kB
Upload tfidf.pickle
