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MABONGALABS
/
HEMA_CLASS
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0
Tabular Classification
private-western-kenya-clinical-cohort
English
medical
clinical-decision-support
scikit-learn
xgboost
shap
ensemble-learning
global-health
License:
mit
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HEMA_CLASS
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22 commits
MABONGALABS
Update app.py
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.gitattributes
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README.md
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app.py
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encoder.pkl
pickle
Detected Pickle imports (7)
"numpy.float64"
,
"numpy._core.multiarray._reconstruct"
,
"numpy.dtype"
,
"numpy.ndarray"
,
"None.dtype"
,
"sklearn.preprocessing._encoders.OrdinalEncoder"
,
"joblib.numpy_pickle.NumpyArrayWrapper"
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ensemble_model.pkl
pickle
Detected Pickle imports (10)
"sklearn.ensemble._forest.RandomForestClassifier"
,
"sklearn.ensemble._stacking.StackingClassifier"
,
"sklearn.linear_model._logistic.LogisticRegression"
,
"numpy.dtype"
,
"sklearn.preprocessing._label.LabelEncoder"
,
"sklearn.svm._classes.SVC"
,
"xgboost.sklearn.XGBClassifier"
,
"joblib.numpy_pickle.NumpyArrayWrapper"
,
"numpy.ndarray"
,
"sklearn.tree._classes.DecisionTreeClassifier"
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feature_names.pkl
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pickle
Pickle imports
No problematic imports detected
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requirements.txt
127 Bytes
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scaler.pkl
pickle
Detected Pickle imports (7)
"numpy.ndarray"
,
"joblib.numpy_pickle.NumpyArrayWrapper"
,
"numpy._core.multiarray.scalar"
,
"None.dtype"
,
"numpy._core.multiarray._reconstruct"
,
"sklearn.preprocessing._data.StandardScaler"
,
"numpy.dtype"
How to fix it?
2.49 kB
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y_probs_val.pkl
pickle
Detected Pickle imports (3)
"numpy.dtype"
,
"numpy.ndarray"
,
"joblib.numpy_pickle.NumpyArrayWrapper"
How to fix it?
2.08 kB
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y_test_val.pkl
pickle
Detected Pickle imports (7)
"pandas.core.indexes.base._new_Index"
,
"numpy.ndarray"
,
"pandas.core.indexes.base.Index"
,
"pandas.core.internals.managers.SingleBlockManager"
,
"joblib.numpy_pickle.NumpyArrayWrapper"
,
"numpy.dtype"
,
"pandas.core.series.Series"
How to fix it?
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about 1 hour ago