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Update app.py
10d2035
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8.41 kB
Update app.py
best_logreg_model.pkl
Detected Pickle imports (9)
- "sklearn.model_selection._search.GridSearchCV",
- "numpy.ma.core._mareconstruct",
- "numpy.ndarray",
- "sklearn.metrics._scorer._PassthroughScorer",
- "numpy.core.multiarray._reconstruct",
- "sklearn.linear_model._logistic.LogisticRegression",
- "numpy.core.multiarray.scalar",
- "numpy.ma.core.MaskedArray",
- "numpy.dtype"
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34.8 kB
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best_rf_model.pkl
Detected Pickle imports (7)
- "numpy.ndarray",
- "numpy.core.multiarray._reconstruct",
- "sklearn.ensemble._forest.RandomForestClassifier",
- "numpy.dtype",
- "numpy.core.multiarray.scalar",
- "sklearn.tree._classes.DecisionTreeClassifier",
- "sklearn.tree._tree.Tree"
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10.8 MB
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best_svm_model.pkl
Detected Pickle imports (5)
- "numpy.ndarray",
- "sklearn.svm._classes.SVC",
- "numpy.core.multiarray._reconstruct",
- "numpy.core.multiarray.scalar",
- "numpy.dtype"
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1.38 MB
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Update requirements.txt
rf_clf.pkl
Detected Pickle imports (7)
- "numpy.core.multiarray._reconstruct",
- "numpy.core.multiarray.scalar",
- "numpy.ndarray",
- "sklearn.tree._classes.DecisionTreeClassifier",
- "numpy.dtype",
- "sklearn.tree._tree.Tree",
- "sklearn.ensemble._forest.RandomForestClassifier"
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109 MB
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scaler.pkl
Detected Pickle imports (5)
- "numpy.ndarray",
- "sklearn.preprocessing._data.StandardScaler",
- "numpy.core.multiarray._reconstruct",
- "numpy.core.multiarray.scalar",
- "numpy.dtype"
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3.99 kB
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