Fetching metadata from the HF Docker repository...
Update app.py
beb55b6
-
1.48 kB
initial commit
-
241 Bytes
initial commit
-
3.21 kB
Update app.py
modelo_search_2.pkl
Detected Pickle imports (28)
- "sklearn.metrics._scorer._PredictScorer",
- "sklearn.linear_model._logistic.LogisticRegression",
- "xgboost.core.Booster",
- "sklearn.neural_network._multilayer_perceptron.MLPClassifier",
- "sklearn.ensemble._forest.RandomForestClassifier",
- "numpy.core.multiarray._reconstruct",
- "sklearn.impute._base.SimpleImputer",
- "numpy.ndarray",
- "sklearn.preprocessing._data.MinMaxScaler",
- "sklearn.preprocessing._encoders.OneHotEncoder",
- "numpy.ma.core._mareconstruct",
- "numpy.ma.core.MaskedArray",
- "numpy.core.multiarray.scalar",
- "sklearn.pipeline.Pipeline",
- "sklearn.preprocessing._function_transformer.FunctionTransformer",
- "builtins.bytearray",
- "sklearn.model_selection._search.GridSearchCV",
- "sklearn.metrics._classification.f1_score",
- "sklearn.tree._classes.DecisionTreeClassifier",
- "numpy.float64",
- "sklearn.neighbors._classification.KNeighborsClassifier",
- "numpy.dtype",
- "builtins.slice",
- "sklearn.compose._column_transformer.ColumnTransformer",
- "sklearn.naive_bayes.BernoulliNB",
- "sklearn.model_selection._split.StratifiedKFold",
- "xgboost.compat.XGBoostLabelEncoder",
- "xgboost.sklearn.XGBClassifier"
How to fix it?
771 kB
Upload modelo_search_2.pkl
-
63 Bytes
Update requirements.txt