Fetching metadata from the HF Docker repository... decision_tree.joblib Detected Pickle imports (8)
- "numpy.ndarray",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy._core.multiarray._reconstruct",
- "sklearn.tree._tree.Tree",
- "DecisionTreeClassifier.dtype",
- "numpy.dtype",
- "numpy._core.multiarray.scalar",
- "sklearn.tree._classes.DecisionTreeClassifier"
How to fix it?
6.91 kB init logistic_regression.joblib Detected Pickle imports (8)
- "sklearn.pipeline.Pipeline",
- "numpy.ndarray",
- "numpy._core.multiarray._reconstruct",
- "numpy.dtype",
- "sklearn.preprocessing._data.StandardScaler",
- "Pipeline.dtype",
- "numpy._core.multiarray.scalar",
- "joblib.numpy_pickle.NumpyArrayWrapper"
How to fix it?
6.4 kB init mlp.joblib Detected Pickle imports (8)
- "numpy._core.multiarray._reconstruct",
- "Pipeline.dtype",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy.dtype",
- "sklearn.pipeline.Pipeline",
- "sklearn.preprocessing._data.StandardScaler",
- "numpy.ndarray",
- "numpy._core.multiarray.scalar"
How to fix it?
247 kB init random_forest.joblib Detected Pickle imports (7)
- "sklearn.tree._classes.DecisionTreeClassifier",
- "sklearn.ensemble._forest.RandomForestClassifier",
- "RandomForestClassifier.dtype",
- "numpy.ndarray",
- "numpy._core.multiarray._reconstruct",
- "numpy.dtype",
- "joblib.numpy_pickle.NumpyArrayWrapper"
How to fix it?
2.56 MB init - 1.47 kB init
xgboost.joblib Detected Pickle imports (10)
- "XGBStringWrapper.dtype",
- "numpy.ndarray",
- "ml_estimators.XGBStringWrapper",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy._core.multiarray._reconstruct",
- "xgboost.sklearn.XGBClassifier",
- "builtins.bytearray",
- "sklearn.preprocessing._label.LabelEncoder",
- "xgboost.core.Booster",
- "numpy.dtype"
How to fix it?
1.8 MB init
