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AI4M_BASEMODEL_PREDICTION / models

8.29 MB

1 contributor

History: 2 commits

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AI4M initial commit deploy

2bc94d6 verified 2 months ago

catboost.cbm

1.31 MB
xet

AI4M initial commit deploy 2 months ago
catboost_metadata.joblib
Detected Pickle imports (2)
- "numpy.dtype",
- "numpy._core.multiarray.scalar"
How to fix it?
437 Bytes
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AI4M initial commit deploy 3 months ago
lightgbm.joblib
Detected Pickle imports (8)
- "collections.defaultdict",
- "lightgbm.basic.Booster",
- "numpy.dtype",
- "collections.OrderedDict",
- "numpy._core.multiarray.scalar",
- "numpy.ndarray",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "lightgbm.sklearn.LGBMClassifier"
How to fix it?
5.62 MB
xet

AI4M initial commit deploy 2 months ago
lightgbm_metadata.joblib
Detected Pickle imports (2)
- "numpy.dtype",
- "numpy._core.multiarray.scalar"
How to fix it?
450 Bytes
xet

AI4M initial commit deploy 3 months ago
tabnet.zip.zip
Pickle imports
- No problematic imports detected
What is a pickle import?
325 kB
xet

AI4M initial commit deploy 2 months ago
tabnet_scaler.joblib
Detected Pickle imports (5)
- "sklearn.preprocessing._data.StandardScaler",
- "numpy.dtype",
- "numpy._core.multiarray.scalar",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy.ndarray"
How to fix it?
855 Bytes
xet

AI4M initial commit deploy 2 months ago
xgboost.joblib
Detected Pickle imports (5)
- "xgboost.sklearn.XGBClassifier",
- "builtins.bytearray",
- "numpy.dtype",
- "numpy._core.multiarray.scalar",
- "xgboost.core.Booster"
How to fix it?
1.02 MB
xet

AI4M initial commit deploy 2 months ago