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best_random_forest_model.pkl Detected Pickle imports (7)
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy.ndarray",
- "sklearn.tree._classes.DecisionTreeClassifier",
- "numpy.dtype",
- "sklearn.ensemble._forest.RandomForestClassifier",
- "_codecs.encode",
- "numpy.core.multiarray._reconstruct"
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410 MB Upload best_random_forest_model.pkl - 500 Bytes Create inference.py
loan_model_pipeline.pkl Detected Pickle imports (8)
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "sklearn.pipeline.Pipeline",
- "numpy.ndarray",
- "sklearn.preprocessing._data.StandardScaler",
- "numpy.dtype",
- "numpy.core.multiarray.scalar",
- "_codecs.encode",
- "numpy.core.multiarray._reconstruct"
How to fix it?
845 MB Upload loan_model_pipeline.pkl - 26 Bytes Create requirements.txt
std_scaler.bin Detected Pickle imports (7)
- "numpy.ndarray",
- "numpy.dtype",
- "numpy.core.multiarray.scalar",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "_codecs.encode",
- "numpy.core.multiarray._reconstruct",
- "sklearn.preprocessing._data.StandardScaler"
How to fix it?
1.14 kB Upload std_scaler.bin