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LinearRegression_model.pkl
Detected Pickle imports (5)
- "numpy.dtype",
- "sklearn.linear_model._base.LinearRegression",
- "numpy.ndarray",
- "numpy.core.multiarray._reconstruct",
- "numpy.core.multiarray.scalar"
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RandomForestRegressor_model.pkl
Detected Pickle imports (6)
- "sklearn.tree._tree.Tree",
- "sklearn.ensemble._forest.RandomForestRegressor",
- "numpy.dtype",
- "sklearn.tree._classes.DecisionTreeRegressor",
- "numpy.ndarray",
- "numpy.core.multiarray._reconstruct"
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104 MB
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Create model.py
random_forest_model.pkl
Detected Pickle imports (10)
- "numpy.ndarray",
- "numpy.core.multiarray._reconstruct",
- "sklearn.preprocessing._encoders.OneHotEncoder",
- "sklearn.preprocessing._data.StandardScaler",
- "numpy.dtype",
- "sklearn.compose._column_transformer.ColumnTransformer",
- "sklearn.pipeline.Pipeline",
- "numpy.float64",
- "_codecs.encode",
- "joblib.numpy_pickle.NumpyArrayWrapper"
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Update requirements.txt