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gradientboosting_tuned.pkl
Detected Pickle imports (9)
- "_loss.CyHalfSquaredError",
- "sklearn.ensemble._gb.GradientBoostingRegressor",
- "sklearn.dummy.DummyRegressor",
- "sklearn._loss.loss.HalfSquaredError",
- "numpy.dtype",
- "numpy.ndarray",
- "sklearn._loss.link.Interval",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "sklearn._loss.link.IdentityLink"
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randomforest_tuned.pkl
Detected Pickle imports (6)
- "numpy.dtype",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "sklearn.ensemble._forest.RandomForestRegressor",
- "numpy.ndarray",
- "sklearn.tree._tree.Tree",
- "sklearn.tree._classes.DecisionTreeRegressor"
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140 MB
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9.01 kB
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stacking_final.pkl
Detected Pickle imports (12)
- "xgboost.sklearn.XGBRegressor",
- "numpy.dtype",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "sklearn.ensemble._forest.RandomForestRegressor",
- "builtins.bytearray",
- "catboost.core.CatBoostRegressor",
- "xgboost.core.Booster",
- "numpy.ndarray",
- "sklearn.tree._tree.Tree",
- "sklearn.ensemble._stacking.StackingRegressor",
- "numpy._core.multiarray.scalar",
- "sklearn.tree._classes.DecisionTreeRegressor"
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352 MB
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svr_tuned.pkl
Detected Pickle imports (5)
- "numpy._core.multiarray.scalar",
- "numpy.dtype",
- "numpy.ndarray",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "sklearn.svm._classes.SVR"
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7.14 MB
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3.94 MB
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