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duonggbill
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dbill-customer-model
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Joblib
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dbill-customer-model
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2 commits
duonggbill
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category_encoder.joblib
pickle
Detected Pickle imports (6)
"numpy.dtype"
,
"numpy.core.multiarray._reconstruct"
,
"sklearn.preprocessing._label.LabelEncoder"
,
"_codecs.encode"
,
"numpy.ndarray"
,
"joblib.numpy_pickle.NumpyArrayWrapper"
How to fix it?
600 Bytes
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cluster_info.joblib
Unsafe
pickle
Detected Pickle imports (6)
"numpy.dtype"
,
"pandas._libs.internals._unpickle_block"
,
"pandas.core.frame.DataFrame"
,
"pandas.core.internals.managers.BlockManager"
,
"numpy.ndarray"
,
"joblib.numpy_pickle.NumpyArrayWrapper"
How to fix it?
3.08 kB
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cluster_visualization.png
370 kB
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customer_clusters.csv
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89.6 kB
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features.joblib
pickle
Pickle imports
No problematic imports detected
What is a pickle import?
138 Bytes
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gender_encoder.joblib
pickle
Detected Pickle imports (6)
"numpy.dtype"
,
"numpy.core.multiarray._reconstruct"
,
"sklearn.preprocessing._label.LabelEncoder"
,
"_codecs.encode"
,
"numpy.ndarray"
,
"joblib.numpy_pickle.NumpyArrayWrapper"
How to fix it?
554 Bytes
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kmeans.joblib
pickle
Detected Pickle imports (5)
"numpy.dtype"
,
"numpy.core.multiarray.scalar"
,
"sklearn.cluster._kmeans.KMeans"
,
"numpy.ndarray"
,
"joblib.numpy_pickle.NumpyArrayWrapper"
How to fix it?
4.95 kB
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rf_classifier.joblib
pickle
Detected Pickle imports (7)
"numpy.dtype"
,
"numpy.core.multiarray._reconstruct"
,
"sklearn.tree._classes.DecisionTreeClassifier"
,
"_codecs.encode"
,
"sklearn.ensemble._forest.RandomForestClassifier"
,
"numpy.ndarray"
,
"joblib.numpy_pickle.NumpyArrayWrapper"
How to fix it?
3.31 MB
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scaler.joblib
pickle
Detected Pickle imports (7)
"sklearn.preprocessing._data.StandardScaler"
,
"numpy.dtype"
,
"numpy.core.multiarray._reconstruct"
,
"numpy.core.multiarray.scalar"
,
"_codecs.encode"
,
"numpy.ndarray"
,
"joblib.numpy_pickle.NumpyArrayWrapper"
How to fix it?
1.22 kB
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