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ApyHTML19
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Triple-R-Checker
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Triple-R-Checker
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models
4.02 MB
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3 contributors
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1 commit
=Apyhtml20
Deploy Triple-R Checker: FastAPI + Angular frontend
9861b96
1 day ago
best_lgbm.pkl
pickle
Detected Pickle imports (11)
"lightgbm.basic.Booster"
,
"numpy._core.multiarray._reconstruct"
,
"numpy._core.multiarray.scalar"
,
"collections.defaultdict"
,
"collections.OrderedDict"
,
"numpy.dtype"
,
"joblib.numpy_pickle.NumpyArrayWrapper"
,
"lightgbm.sklearn.LGBMClassifier"
,
"None.dtype"
,
"sklearn.preprocessing._label.LabelEncoder"
,
"numpy.ndarray"
How to fix it?
2.49 MB
xet
Deploy Triple-R Checker: FastAPI + Angular frontend
1 day ago
best_logistic.pkl
pickle
Detected Pickle imports (6)
"sklearn.linear_model._logistic.LogisticRegression"
,
"numpy.ndarray"
,
"numpy._core.multiarray._reconstruct"
,
"None.dtype"
,
"numpy.dtype"
,
"joblib.numpy_pickle.NumpyArrayWrapper"
How to fix it?
481 kB
xet
Deploy Triple-R Checker: FastAPI + Angular frontend
1 day ago
best_xgb.pkl
pickle
Detected Pickle imports (3)
"xgboost.sklearn.XGBClassifier"
,
"xgboost.core.Booster"
,
"builtins.bytearray"
How to fix it?
650 kB
xet
Deploy Triple-R Checker: FastAPI + Angular frontend
1 day ago
tfidf_vectorizer.pkl
pickle
Detected Pickle imports (6)
"joblib.numpy_pickle.NumpyArrayWrapper"
,
"numpy.dtype"
,
"sklearn.feature_extraction.text.TfidfTransformer"
,
"numpy.ndarray"
,
"sklearn.feature_extraction.text.TfidfVectorizer"
,
"numpy.float64"
How to fix it?
398 kB
xet
Deploy Triple-R Checker: FastAPI + Angular frontend
1 day ago
xgb_encoder.pkl
pickle
Detected Pickle imports (6)
"numpy._core.multiarray._reconstruct"
,
"numpy.ndarray"
,
"joblib.numpy_pickle.NumpyArrayWrapper"
,
"sklearn.preprocessing._label.LabelEncoder"
,
"None.dtype"
,
"numpy.dtype"
How to fix it?
541 Bytes
xet
Deploy Triple-R Checker: FastAPI + Angular frontend
1 day ago