Fetching metadata from the HF Docker repository... 
Update app.py
96010f3 verified - 1.95 kB Rename all_features.csv to training_data.csv
- 553 kB Upload Comb1_aac_ctd_RFE_selected_features_model (1).keras
- 553 kB Upload Comb1_aac_ctd_RFE_selected_features_model.keras
- 8.8 kB Upload Comb1_aac_ctd_RFE_selected_features_scaler.joblib
- 261 Bytes Create Dockerfile
- 135 Bytes Update README.md
RF.joblib Detected Pickle imports (7)
- "sklearn.ensemble._forest.RandomForestClassifier",
- "_codecs.encode",
- "numpy.dtype",
- "numpy.ndarray",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "sklearn.tree._classes.DecisionTreeClassifier",
- "numpy.core.multiarray._reconstruct"
How to fix it?
69.6 MB Upload RF.joblib - 20.8 kB Update app.py
arg_scaler.pkl Detected Pickle imports (5)
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "sklearn.preprocessing._data.StandardScaler",
- "numpy.ndarray",
- "numpy._core.multiarray.scalar",
- "numpy.dtype"
How to fix it?
25.2 kB Upload 9 files - 358 kB Upload 9 files
aur_scaler.pkl Detected Pickle imports (5)
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "sklearn.preprocessing._data.StandardScaler",
- "numpy.ndarray",
- "numpy._core.multiarray.scalar",
- "numpy.dtype"
How to fix it?
25.2 kB Upload 9 files - 363 kB Upload 9 files
coli_scaler.pkl Detected Pickle imports (5)
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "sklearn.preprocessing._data.StandardScaler",
- "numpy.ndarray",
- "numpy._core.multiarray.scalar",
- "numpy.dtype"
How to fix it?
25.2 kB Upload 9 files - 382 kB Upload 9 files
- 17.9 MB Rename all_features_SFS-RFE_selected_features.csv to lime_training_data.csv
- 0 Bytes Update mic_worker.py
norm (1).joblib Detected Pickle imports (6)
- "sklearn.preprocessing._data.MinMaxScaler",
- "numpy.ndarray",
- "_codecs.encode",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy.dtype",
- "numpy.core.multiarray._reconstruct"
How to fix it?
9.76 kB Upload norm (1).joblib norm (2).joblib Detected Pickle imports (6)
- "sklearn.preprocessing._data.MinMaxScaler",
- "numpy.ndarray",
- "_codecs.encode",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy.dtype",
- "numpy.core.multiarray._reconstruct"
How to fix it?
9.82 kB Upload norm (2).joblib norm (4).joblib Detected Pickle imports (6)
- "sklearn.preprocessing._data.MinMaxScaler",
- "numpy.ndarray",
- "_codecs.encode",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy.dtype",
- "numpy.core.multiarray._reconstruct"
How to fix it?
87.9 kB Upload norm (4).joblib norm.joblib Detected Pickle imports (6)
- "_codecs.encode",
- "numpy.core.multiarray._reconstruct",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "sklearn.preprocessing._data.MinMaxScaler",
- "numpy.ndarray",
- "numpy.dtype"
How to fix it?
22.1 kB Upload norm.joblib pne_mlp_model.pkl Detected Pickle imports (7)
- "numpy.random._mt19937.MT19937",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "sklearn.neural_network._multilayer_perceptron.MLPRegressor",
- "numpy.random._pickle.__randomstate_ctor",
- "numpy.ndarray",
- "numpy.random._pickle.__bit_generator_ctor",
- "numpy.dtype"
How to fix it?
2.6 MB Upload 9 files pne_pca.pkl Detected Pickle imports (4)
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "sklearn.decomposition._pca.PCA",
- "numpy.ndarray",
- "numpy.dtype"
How to fix it?
338 kB Upload 9 files pne_scaler.pkl Detected Pickle imports (5)
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "sklearn.preprocessing._data.StandardScaler",
- "numpy.ndarray",
- "numpy._core.multiarray.scalar",
- "numpy.dtype"
How to fix it?
25.2 kB Upload 9 files - 132 Bytes Update requirements.txt
- 66.3 MB Rename all_features.csv to training_data.csv
