Fetching metadata from the HF Docker repository... 
face recognition
50f9fa8 SVC (1).sav Detected Pickle imports (4)
- "sklearn.svm._classes.SVC",
- "numpy.dtype",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy.ndarray"
How to fix it?
3.54 kB face recognition SVC.sav Detected Pickle imports (4)
- "sklearn.svm._classes.SVC",
- "numpy.dtype",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy.ndarray"
How to fix it?
3.99 kB face recognition SVC_1.sav Detected Pickle imports (4)
- "sklearn.svm._classes.SVC",
- "numpy.dtype",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy.ndarray"
How to fix it?
3.99 kB face recognition SVC_3.sav Detected Pickle imports (4)
- "sklearn.svm._classes.SVC",
- "numpy.dtype",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy.ndarray"
How to fix it?
3.16 kB face recognition - 0 Bytes siamese network first push
decision_tree_model.sav Detected Pickle imports (4)
- "numpy.ndarray",
- "sklearn.tree._classes.DecisionTreeClassifier",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy.dtype"
How to fix it?
2.64 kB face recognition - 7.64 kB face expressions
- 1.29 kB siamese network first push
- 136 MB face expressions
face_knn.sav Detected Pickle imports (4)
- "numpy.ndarray",
- "sklearn.neighbors._classification.KNeighborsClassifier",
- "numpy.dtype",
- "joblib.numpy_pickle.NumpyArrayWrapper"
How to fix it?
1.76 kB face recognition - 12.8 kB face recognition
- 2.62 kB face recognition
- 341 kB siamese network first push
- 930 kB siamese network first push
- 50.4 kB siamese network first push
logistic_regression.sav Detected Pickle imports (4)
- "numpy.ndarray",
- "sklearn.linear_model._logistic.LogisticRegression",
- "numpy.dtype",
- "joblib.numpy_pickle.NumpyArrayWrapper"
How to fix it?
1.02 kB face recognition logistic_regression_1.sav Detected Pickle imports (4)
- "numpy.ndarray",
- "sklearn.linear_model._logistic.LogisticRegression",
- "numpy.dtype",
- "joblib.numpy_pickle.NumpyArrayWrapper"
How to fix it?
1.02 kB face recognition logistic_regression_2.sav Detected Pickle imports (4)
- "numpy.ndarray",
- "sklearn.linear_model._logistic.LogisticRegression",
- "numpy.dtype",
- "joblib.numpy_pickle.NumpyArrayWrapper"
How to fix it?
1.02 kB face recognition logistic_regression_5.sav Detected Pickle imports (4)
- "numpy.ndarray",
- "sklearn.linear_model._logistic.LogisticRegression",
- "numpy.dtype",
- "joblib.numpy_pickle.NumpyArrayWrapper"
How to fix it?
1.02 kB face recognition scaler.joblib Detected Pickle imports (5)
- "numpy.ndarray",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy._core.multiarray.scalar",
- "numpy.dtype",
- "sklearn.preprocessing._data.StandardScaler"
How to fix it?
719 Bytes face recognition - 161 MB siamese network first push
- 161 MB face recognition
standar_scaler.sav Detected Pickle imports (5)
- "numpy.ndarray",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy._core.multiarray.scalar",
- "numpy.dtype",
- "sklearn.preprocessing._data.StandardScaler"
How to fix it?
719 Bytes face recognition
