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Deploy backend Flask app
70dd390 verified - 1.52 kB initial commit
- 227 Bytes Deploy backend Flask app
- 200 Bytes initial commit
- 2.59 kB Upload folder using huggingface_hub
best_if_model.joblib Detected Pickle imports (6)
- "numpy.dtype",
- "sklearn.tree._tree.Tree",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy.ndarray",
- "sklearn.ensemble._iforest.IsolationForest",
- "sklearn.tree._classes.ExtraTreeRegressor"
How to fix it?
7.82 MB Upload best_if_model.joblib with huggingface_hub best_svm_model.joblib Detected Pickle imports (5)
- "numpy.dtype",
- "sklearn.svm._classes.OneClassSVM",
- "numpy._core.multiarray.scalar",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy.ndarray"
How to fix it?
58.8 kB Upload best_svm_model.joblib with huggingface_hub - 5.03 kB Deploy backend Flask app
encoders.joblib Detected Pickle imports (6)
- "numpy.dtype",
- "LabelEncoder.dtype",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy.ndarray",
- "numpy._core.multiarray._reconstruct",
- "sklearn.preprocessing._label.LabelEncoder"
How to fix it?
258 kB Upload encoders.joblib with huggingface_hub - 200 Bytes Upload feature_names.joblib with huggingface_hub
iso_scaler.joblib Detected Pickle imports (4)
- "numpy.dtype",
- "sklearn.preprocessing._data.MinMaxScaler",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy.ndarray"
How to fix it?
719 Bytes Upload iso_scaler.joblib with huggingface_hub - 247 kB Upload model.joblib with huggingface_hub
- 184 Bytes Deploy backend Flask app
- 1.55 kB Upload scaler.joblib with huggingface_hub
svm_scaler.joblib Detected Pickle imports (4)
- "numpy.dtype",
- "sklearn.preprocessing._data.MinMaxScaler",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy.ndarray"
How to fix it?
719 Bytes Upload svm_scaler.joblib with huggingface_hub
