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likelihood_calibrator.pkl Detected Pickle imports (6)
- "numpy.ndarray",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "sklearn.linear_model._logistic.LogisticRegression",
- "_codecs.encode",
- "numpy._core.multiarray._reconstruct",
- "numpy.dtype"
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1.25 kB Upload 10 files rf_injury_model.pkl Detected Pickle imports (8)
- "sklearn.tree._classes.DecisionTreeClassifier",
- "numpy._core.multiarray._reconstruct",
- "sklearn.calibration.CalibratedClassifierCV",
- "numpy.ndarray",
- "sklearn.ensemble._forest.RandomForestClassifier",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "_codecs.encode",
- "numpy.dtype"
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80.6 MB Upload 10 files rf_target_encoder.pkl Detected Pickle imports (6)
- "numpy.ndarray",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "_codecs.encode",
- "numpy.dtype",
- "sklearn.preprocessing._label.LabelEncoder",
- "numpy._core.multiarray._reconstruct"
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553 Bytes Upload 10 files xgb_target_encoder.pkl Detected Pickle imports (6)
- "numpy.ndarray",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "_codecs.encode",
- "numpy.dtype",
- "sklearn.preprocessing._label.LabelEncoder",
- "numpy._core.multiarray._reconstruct"
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553 Bytes Upload 10 files xgboost_injury_model.pkl Detected Pickle imports (10)
- "numpy.dtype",
- "sklearn.calibration.CalibratedClassifierCV",
- "numpy.ndarray",
- "sklearn.calibration._SigmoidCalibration",
- "sklearn.calibration._CalibratedClassifier",
- "builtins.bytearray",
- "xgboost.core.Booster",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "xgboost.sklearn.XGBClassifier",
- "numpy._core.multiarray.scalar"
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23.3 MB Upload 10 files
