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Irfnn
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Final_Project
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Final_Project
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.gitattributes
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README.md
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initial commit
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app.py
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clustering_pipeline_with_filter.pkl
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pickle
Detected Pickle imports (12)
"__main__.FilterAndSelect"
,
"numpy.core.multiarray.scalar"
,
"builtins.slice"
,
"numpy.float64"
,
"numpy.ndarray"
,
"imblearn.pipeline.Pipeline"
,
"sklearn.compose._column_transformer.ColumnTransformer"
,
"numpy.core.multiarray._reconstruct"
,
"numpy.dtype"
,
"sklearn.preprocessing._encoders.OneHotEncoder"
,
"sklearn.cluster._kmeans.KMeans"
,
"sklearn.preprocessing._data.StandardScaler"
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eda.py
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fp_classifier.pkl
pickle
Detected Pickle imports (13)
"numpy.ndarray"
,
"sklearn.compose._column_transformer.ColumnTransformer"
,
"sklearn.preprocessing._data.MinMaxScaler"
,
"numpy.core.multiarray._reconstruct"
,
"numpy.dtype"
,
"imblearn.pipeline.Pipeline"
,
"numpy.float64"
,
"sklearn.ensemble._forest.RandomForestClassifier"
,
"builtins.slice"
,
"sklearn.tree._classes.DecisionTreeClassifier"
,
"sklearn.preprocessing._encoders.OneHotEncoder"
,
"numpy.core.multiarray.scalar"
,
"sklearn.tree._tree.Tree"
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10.5 MB
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model.py
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requirements.txt
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