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VoltageVagabond
/
spam-classifier-gradio-model
like
0
Joblib
VoltageVagabond/spam-email-dataset
spam-detection
xai
lime
shap
eli5
scikit-learn
nlp
explainable-ai
License:
mit
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spam-classifier-gradio-model
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VoltageVagabond
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.gitattributes
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.gitignore
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MODEL_README.md
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README.md
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app.py
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feature_names.joblib
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meta_scaler.joblib
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Detected Pickle imports (4)
"joblib.numpy_pickle.NumpyArrayWrapper"
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"sklearn.preprocessing._data.MinMaxScaler"
,
"numpy.ndarray"
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"numpy.dtype"
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optimal_threshold.joblib
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"numpy._core.multiarray.scalar"
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"numpy.dtype"
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requirements.txt
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retrain.py
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spam_classifier_gradio.ipynb
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test_utils.py
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tfidf_vectorizer.joblib
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Detected Pickle imports (6)
"sklearn.feature_extraction.text.TfidfTransformer"
,
"numpy.ndarray"
,
"numpy.dtype"
,
"sklearn.feature_extraction.text.TfidfVectorizer"
,
"joblib.numpy_pickle.NumpyArrayWrapper"
,
"numpy.float64"
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train.py
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training_report.json
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training_sample.joblib
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Detected Pickle imports (3)
"joblib.numpy_pickle.NumpyArrayWrapper"
,
"numpy.ndarray"
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"numpy.dtype"
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utils.py
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voting_model.joblib
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Detected Pickle imports (10)
"sklearn.calibration.CalibratedClassifierCV"
,
"numpy.ndarray"
,
"sklearn.ensemble._forest.RandomForestClassifier"
,
"sklearn.svm._classes.LinearSVC"
,
"sklearn.tree._classes.DecisionTreeClassifier"
,
"sklearn.ensemble._voting.VotingClassifier"
,
"sklearn.linear_model._logistic.LogisticRegression"
,
"numpy.dtype"
,
"sklearn.preprocessing._label.LabelEncoder"
,
"joblib.numpy_pickle.NumpyArrayWrapper"
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