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1.42 kB
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adaboost_model_best.pkl
Detected Pickle imports (7)
- "sklearn.tree._classes.DecisionTreeClassifier",
- "sklearn.tree._tree.Tree",
- "sklearn.ensemble._weight_boosting.AdaBoostClassifier",
- "numpy.core.multiarray._reconstruct",
- "numpy.core.multiarray.scalar",
- "numpy.dtype",
- "numpy.ndarray"
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2.04 kB
Update app.py
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4.44 kB
Rename app.py to app_v1.py
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4.08 kB
Rename app.py to app_v2.py
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63.6 kB
Upload best_model_softmax_model.pkl
decision_tree_model.pkl
Detected Pickle imports (6)
- "numpy.ndarray",
- "numpy.core.multiarray._reconstruct",
- "numpy.core.multiarray.scalar",
- "sklearn.tree._tree.Tree",
- "sklearn.tree._classes.DecisionTreeClassifier",
- "numpy.dtype"
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9.66 kB
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decision_tree_model_best.pkl
Detected Pickle imports (6)
- "numpy.dtype",
- "sklearn.tree._classes.DecisionTreeClassifier",
- "numpy.ndarray",
- "numpy.core.multiarray.scalar",
- "numpy.core.multiarray._reconstruct",
- "sklearn.tree._tree.Tree"
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146 kB
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gradientboost_grid_search.pkl
Detected Pickle imports (14)
- "sklearn.dummy.DummyClassifier",
- "numpy.core.multiarray._reconstruct",
- "sklearn.ensemble._gb.GradientBoostingClassifier",
- "numpy.core.multiarray.scalar",
- "sklearn.model_selection._search.GridSearchCV",
- "numpy.random._pickle.__randomstate_ctor",
- "sklearn.metrics._scorer._passthrough_scorer",
- "numpy.ma.core._mareconstruct",
- "sklearn.tree._tree.Tree",
- "sklearn.ensemble._gb_losses.MultinomialDeviance",
- "numpy.ma.core.MaskedArray",
- "numpy.dtype",
- "numpy.ndarray",
- "sklearn.tree._classes.DecisionTreeRegressor"
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3.99 MB
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gradientboost_model_best.pkl
Detected Pickle imports (9)
- "sklearn.dummy.DummyClassifier",
- "numpy.core.multiarray._reconstruct",
- "sklearn.ensemble._gb_losses.MultinomialDeviance",
- "numpy.ndarray",
- "sklearn.tree._tree.Tree",
- "numpy.random._pickle.__randomstate_ctor",
- "sklearn.ensemble._gb.GradientBoostingClassifier",
- "sklearn.tree._classes.DecisionTreeRegressor",
- "numpy.dtype"
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4.23 MB
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nn_model.pkl
Detected Pickle imports (4)
- "numpy.ndarray",
- "keras.saving.pickle_utils.deserialize_model_from_bytecode",
- "numpy.core.multiarray._reconstruct",
- "numpy.dtype"
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563 kB
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nn_model_deep.pkl
Detected Pickle imports (4)
- "keras.saving.pickle_utils.deserialize_model_from_bytecode",
- "numpy.core.multiarray._reconstruct",
- "numpy.dtype",
- "numpy.ndarray"
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1.33 MB
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14 Bytes
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random_forest_model_best.pkl
Detected Pickle imports (7)
- "numpy.dtype",
- "sklearn.tree._tree.Tree",
- "sklearn.tree._classes.DecisionTreeClassifier",
- "numpy.core.multiarray.scalar",
- "numpy.core.multiarray._reconstruct",
- "numpy.ndarray",
- "sklearn.ensemble._forest.RandomForestClassifier"
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78.5 MB
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Update requirements.txt
