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- 9.04 kB Create api.py
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dropout_kmeans_model.pkl Detected Pickle imports (5)
- "numpy.dtype",
- "sklearn.cluster._kmeans.KMeans",
- "numpy.ndarray",
- "numpy._core.multiarray.scalar",
- "joblib.numpy_pickle.NumpyArrayWrapper"
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dropout_randomforest_model.pkl Detected Pickle imports (5)
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "sklearn.tree._classes.DecisionTreeClassifier",
- "numpy.ndarray",
- "sklearn.ensemble._forest.RandomForestClassifier",
- "numpy.dtype"
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38.7 MB Upload 6 files dropout_scaler.pkl Detected Pickle imports (7)
- "numpy.ndarray",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "_codecs.encode",
- "sklearn.preprocessing._data.StandardScaler",
- "numpy.dtype",
- "numpy._core.multiarray.scalar",
- "numpy._core.multiarray._reconstruct"
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1.75 kB Upload 6 files dropout_xgboost_model.pkl Detected Pickle imports (5)
- "xgboost.sklearn.XGBClassifier",
- "numpy.dtype",
- "xgboost.core.Booster",
- "builtins.bytearray",
- "numpy._core.multiarray.scalar"
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1.3 MB Upload 6 files - 56 Bytes Create requirements.txt
