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tinyml-backend / model

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classes.pkl
Detected Pickle imports (5)
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy.ndarray",
- "numpy.dtype",
- "None.dtype",
- "numpy._core.multiarray._reconstruct"
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knn.pkl
Detected Pickle imports (6)
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy.ndarray",
- "numpy.dtype",
- "None.dtype",
- "sklearn.neighbors._classification.KNeighborsClassifier",
- "numpy._core.multiarray._reconstruct"
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6.44 MB
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label_encoder.pkl
Detected Pickle imports (6)
- "numpy.dtype",
- "numpy._core.multiarray._reconstruct",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "None.dtype",
- "numpy.ndarray",
- "sklearn.preprocessing._label.LabelEncoder"
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543 Bytes
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logreg.pkl
Detected Pickle imports (6)
- "numpy.ndarray",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "None.dtype",
- "numpy._core.multiarray._reconstruct",
- "sklearn.linear_model._logistic.LogisticRegression",
- "numpy.dtype"
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1.62 kB
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rf.pkl
Detected Pickle imports (7)
- "numpy.ndarray",
- "sklearn.ensemble._forest.RandomForestClassifier",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy.dtype",
- "sklearn.tree._classes.DecisionTreeClassifier",
- "numpy._core.multiarray._reconstruct",
- "None.dtype"
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172 kB
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scaler.pkl
Detected Pickle imports (7)
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "sklearn.preprocessing._data.StandardScaler",
- "numpy._core.multiarray._reconstruct",
- "None.dtype",
- "numpy._core.multiarray.scalar",
- "numpy.ndarray",
- "numpy.dtype"
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1.13 kB
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small_nn.pkl
Detected Pickle imports (7)
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "sklearn.preprocessing._label.LabelBinarizer",
- "numpy._core.multiarray._reconstruct",
- "None.dtype",
- "sklearn.neural_network._multilayer_perceptron.MLPClassifier",
- "numpy.ndarray",
- "numpy.dtype"
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22.7 kB
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svm.pkl
Detected Pickle imports (6)
- "sklearn.svm._classes.SVC",
- "numpy.ndarray",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "None.dtype",
- "numpy._core.multiarray._reconstruct",
- "numpy.dtype"
How to fix it?
899 kB
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