Fetching metadata from the HF Docker repository... 
fix
be3290d verified - 1.52 kB initial commit
- 580 Bytes initial commit
- 2.07 kB initial commit
- 9.06 kB initial commit
- 252 Bytes initial commit
- 1.02 kB initial commit
- 717 Bytes initial commit
- 299 Bytes initial commit
diabetes_calibrator_iso.pkl Detected Pickle imports (5)
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "sklearn.isotonic.IsotonicRegression",
- "numpy.dtype",
- "numpy.ndarray",
- "numpy._core.multiarray.scalar"
How to fix it?
2.28 kB initial commit - 1.04 MB fix
- 412 Bytes initial commit
diabetes_hgb.pkl Detected Pickle imports (4)
- "sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier",
- "numpy.dtype",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy.ndarray"
How to fix it?
674 kB initial commit diabetes_lgbm.pkl Detected Pickle imports (8)
- "numpy._core.multiarray.scalar",
- "lightgbm.basic.Booster",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "collections.OrderedDict",
- "lightgbm.sklearn.LGBMClassifier",
- "numpy.ndarray",
- "collections.defaultdict",
- "numpy.dtype"
How to fix it?
4.72 MB fix diabetes_lr.pkl Detected Pickle imports (4)
- "numpy.ndarray",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "sklearn.linear_model._logistic.LogisticRegression",
- "numpy.dtype"
How to fix it?
1.1 kB fix diabetes_meta.pkl Detected Pickle imports (4)
- "numpy.dtype",
- "sklearn.linear_model._logistic.LogisticRegression",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy.ndarray"
How to fix it?
911 Bytes initial commit - 3.44 MB initial commit
diabetes_scaler.pkl Detected Pickle imports (7)
- "None.dtype",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy._core.multiarray.scalar",
- "numpy.dtype",
- "sklearn.preprocessing._data.StandardScaler",
- "numpy.ndarray",
- "numpy._core.multiarray._reconstruct"
How to fix it?
1.79 kB initial commit diabetes_shap.pkl Detected Pickle imports (6)
- "shap.explainers._tree.TreeExplainer",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy.ndarray",
- "numpy.dtype",
- "shap.explainers._tree.TreeEnsemble",
- "shap.explainers._tree.SingleTree"
How to fix it?
5.08 MB fix - 388 Bytes initial commit
diabetes_xgb.pkl Detected Pickle imports (6)
- "numpy.dtype",
- "numpy._core.multiarray.scalar",
- "xgboost.sklearn.XGBClassifier",
- "xgboost.core.Booster",
- "builtins.bytearray",
- "collections.OrderedDict"
How to fix it?
1.57 MB fix - 2.88 kB initial commit
- 299 Bytes initial commit
- 2.44 kB initial commit
- 1.07 MB fix
- 508 Bytes initial commit
heart_disease_hgb.pkl Detected Pickle imports (4)
- "numpy.ndarray",
- "sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier",
- "numpy.dtype",
- "joblib.numpy_pickle.NumpyArrayWrapper"
How to fix it?
784 kB initial commit heart_disease_lgbm.pkl Detected Pickle imports (8)
- "collections.OrderedDict",
- "lightgbm.sklearn.LGBMClassifier",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy.ndarray",
- "lightgbm.basic.Booster",
- "numpy.dtype",
- "collections.defaultdict",
- "numpy._core.multiarray.scalar"
How to fix it?
2.7 MB fix heart_disease_lr.pkl Detected Pickle imports (4)
- "numpy.dtype",
- "sklearn.linear_model._logistic.LogisticRegression",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy.ndarray"
How to fix it?
1.14 kB fix heart_disease_meta.pkl Detected Pickle imports (4)
- "numpy.dtype",
- "sklearn.linear_model._logistic.LogisticRegression",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy.ndarray"
How to fix it?
911 Bytes initial commit - 3.45 MB initial commit
heart_disease_scaler.pkl Detected Pickle imports (7)
- "None.dtype",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy._core.multiarray.scalar",
- "numpy.dtype",
- "sklearn.preprocessing._data.StandardScaler",
- "numpy.ndarray",
- "numpy._core.multiarray._reconstruct"
How to fix it?
1.97 kB initial commit heart_disease_shap.pkl Detected Pickle imports (6)
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "shap.explainers._tree.TreeExplainer",
- "numpy.ndarray",
- "numpy.dtype",
- "shap.explainers._tree.SingleTree",
- "shap.explainers._tree.TreeEnsemble"
How to fix it?
9.26 MB fix - 390 Bytes initial commit
heart_disease_xgb.pkl Detected Pickle imports (6)
- "collections.OrderedDict",
- "xgboost.core.Booster",
- "numpy.dtype",
- "numpy._core.multiarray.scalar",
- "xgboost.sklearn.XGBClassifier",
- "builtins.bytearray"
How to fix it?
2.86 MB fix - 299 Bytes initial commit
- 1.77 kB initial commit
- 631 kB fix
- 360 Bytes initial commit
hypertension_hgb.pkl Detected Pickle imports (4)
- "numpy.dtype",
- "numpy.ndarray",
- "sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier",
- "joblib.numpy_pickle.NumpyArrayWrapper"
How to fix it?
670 kB initial commit hypertension_lgbm.pkl Detected Pickle imports (8)
- "lightgbm.basic.Booster",
- "lightgbm.sklearn.LGBMClassifier",
- "numpy.dtype",
- "collections.defaultdict",
- "numpy.ndarray",
- "collections.OrderedDict",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy._core.multiarray.scalar"
How to fix it?
284 kB fix hypertension_lr.pkl Detected Pickle imports (4)
- "numpy.ndarray",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "sklearn.linear_model._logistic.LogisticRegression",
- "numpy.dtype"
How to fix it?
1.07 kB fix hypertension_meta.pkl Detected Pickle imports (4)
- "numpy.dtype",
- "sklearn.linear_model._logistic.LogisticRegression",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy.ndarray"
How to fix it?
911 Bytes initial commit - 3.43 MB initial commit
hypertension_scaler.pkl Detected Pickle imports (7)
- "None.dtype",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy._core.multiarray.scalar",
- "numpy.dtype",
- "sklearn.preprocessing._data.StandardScaler",
- "numpy.ndarray",
- "numpy._core.multiarray._reconstruct"
How to fix it?
1.69 kB initial commit hypertension_shap.pkl Detected Pickle imports (6)
- "numpy.dtype",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "shap.explainers._tree.TreeEnsemble",
- "shap.explainers._tree.SingleTree",
- "numpy.ndarray",
- "shap.explainers._tree.TreeExplainer"
How to fix it?
6.25 MB fix - 386 Bytes initial commit
hypertension_xgb.pkl Detected Pickle imports (6)
- "xgboost.core.Booster",
- "numpy.dtype",
- "builtins.bytearray",
- "collections.OrderedDict",
- "xgboost.sklearn.XGBClassifier",
- "numpy._core.multiarray.scalar"
How to fix it?
1.68 MB fix - 28.9 kB initial commit
- 5.26 kB initial commit
- 289 Bytes initial commit
