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Update app.py
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Update app.py
knn_yelp_model.pkl
Detected Pickle imports (5)
- "numpy.ndarray",
- "numpy._core.multiarray._reconstruct",
- "numpy.dtype",
- "sklearn.neighbors._classification.KNeighborsClassifier",
- "scipy.sparse._csr.csr_matrix"
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logistic_model.pkl
Detected Pickle imports (4)
- "numpy.ndarray",
- "numpy.dtype",
- "numpy._core.multiarray._reconstruct",
- "sklearn.linear_model._logistic.LogisticRegression"
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12.2 kB
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random_forest_model.pkl
Detected Pickle imports (7)
- "numpy.ndarray",
- "numpy._core.multiarray._reconstruct",
- "numpy.dtype",
- "sklearn.tree._tree.Tree",
- "numpy._core.multiarray.scalar",
- "sklearn.tree._classes.DecisionTreeClassifier",
- "sklearn.ensemble._forest.RandomForestClassifier"
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Create requirements.txt
svm_linear.pkl
Detected Pickle imports (6)
- "numpy.ndarray",
- "numpy._core.multiarray._reconstruct",
- "numpy.dtype",
- "numpy._core.multiarray.scalar",
- "scipy.sparse._csr.csr_matrix",
- "sklearn.svm._classes.SVC"
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45.5 kB
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svm_poly.pkl
Detected Pickle imports (6)
- "numpy.ndarray",
- "numpy._core.multiarray._reconstruct",
- "numpy.dtype",
- "numpy._core.multiarray.scalar",
- "scipy.sparse._csr.csr_matrix",
- "sklearn.svm._classes.SVC"
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65.1 kB
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svm_rbf.pkl
Detected Pickle imports (6)
- "numpy.ndarray",
- "numpy._core.multiarray._reconstruct",
- "numpy.dtype",
- "numpy._core.multiarray.scalar",
- "scipy.sparse._csr.csr_matrix",
- "sklearn.svm._classes.SVC"
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63.5 kB
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17.8 kB
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