Fetching metadata from the HF Docker repository... aisyahnabillah
initial deploy
8183860 LightGBM.pkl Detected Pickle imports (8)
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy.dtype",
- "lightgbm.sklearn.LGBMClassifier",
- "collections.OrderedDict",
- "collections.defaultdict",
- "lightgbm.basic.Booster",
- "numpy._core.multiarray.scalar",
- "numpy.ndarray"
How to fix it?
6.45 MB initial deploy RandomForest.pkl Detected Pickle imports (7)
- "sklearn.ensemble._forest.RandomForestClassifier",
- "sklearn.tree._classes.DecisionTreeClassifier",
- "numpy.ndarray",
- "numpy.dtype",
- "None.dtype",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy._core.multiarray._reconstruct"
How to fix it?
32.1 MB initial deploy XGBoost.pkl Detected Pickle imports (3)
- "xgboost.core.Booster",
- "builtins.bytearray",
- "xgboost.sklearn.XGBClassifier"
How to fix it?
4.39 MB initial deploy label_encoder.pkl Detected Pickle imports (6)
- "sklearn.preprocessing._label.LabelEncoder",
- "numpy.dtype",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy.ndarray",
- "numpy._core.multiarray._reconstruct",
- "None.dtype"
How to fix it?
705 Bytes initial deploy shap_explainer.pkl Detected Pickle imports (6)
- "shap.explainers._tree.TreeEnsemble",
- "numpy.ndarray",
- "shap.explainers._tree.SingleTree",
- "shap.explainers._tree.TreeExplainer",
- "numpy.dtype",
- "joblib.numpy_pickle.NumpyArrayWrapper"
How to fix it?
29.3 MB initial deploy