siddharthksah

/

deepsafe-weights

like 0

• "sklearn.naive_bayes.GaussianNB",
• "numpy.ndarray",
• "numpy.dtype",
• "joblib.numpy_pickle.NumpyArrayWrapper"

How to fix it?

• "numpy.ndarray",
• "numpy.dtype",
• "sklearn.ensemble._gb.GradientBoostingClassifier",
• "joblib.numpy_pickle.NumpyArrayWrapper"

How to fix it?

• "numpy.ndarray",
• "sklearn.neighbors._classification.KNeighborsClassifier",
• "numpy.dtype",
• "joblib.numpy_pickle.NumpyArrayWrapper"

How to fix it?

• "collections.OrderedDict",
• "lightgbm.basic.Booster",
• "numpy.ndarray",
• "lightgbm.sklearn.LGBMClassifier",
• "collections.defaultdict",
• "numpy.dtype",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "numpy._core.multiarray.scalar"

How to fix it?

• "numpy.ndarray",
• "numpy.dtype",
• "sklearn.linear_model._logistic.LogisticRegression",
• "joblib.numpy_pickle.NumpyArrayWrapper"

How to fix it?

• "sklearn.tree._classes.DecisionTreeClassifier",
• "numpy.dtype",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "sklearn.ensemble._forest.RandomForestClassifier",
• "numpy.ndarray"

How to fix it?

• "numpy.ndarray",
• "sklearn.svm._classes.SVC",
• "numpy.dtype",
• "joblib.numpy_pickle.NumpyArrayWrapper"

How to fix it?

• "xgboost.core.Booster",
• "builtins.bytearray",
• "xgboost.sklearn.XGBClassifier"

How to fix it?

• "sklearn.impute._base.SimpleImputer",
• "None.dtype",
• "numpy.dtype",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "numpy.ndarray",
• "numpy._core.multiarray._reconstruct"

How to fix it?

• "xgboost.core.Booster",
• "builtins.bytearray",
• "xgboost.sklearn.XGBClassifier"

How to fix it?

• "sklearn.preprocessing._data.StandardScaler",
• "numpy._core.multiarray.scalar",
• "numpy.dtype",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "numpy.ndarray"

How to fix it?

• "None.dtype",
• "sklearn.pipeline.Pipeline",
• "numpy.dtype",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "numpy.ndarray",
• "numpy._core.multiarray._reconstruct",
• "sklearn.impute._base.SimpleImputer"

How to fix it?