mzivro

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my-models

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• "imblearn.pipeline.Pipeline",
• "xgboost.sklearn.XGBClassifier",
• "numpy._core.multiarray._reconstruct",
• "imblearn.over_sampling._smote.base.SMOTE",
• "builtins.bytearray",
• "numpy._core.multiarray.scalar",
• "sklearn.preprocessing._encoders.OneHotEncoder",
• "numpy.float64",
• "numpy.dtype",
• "collections.OrderedDict",
• "sklearn.preprocessing._data.StandardScaler",
• "numpy.ndarray",
• "xgboost.core.Booster",
• "sklearn.neighbors._unsupervised.NearestNeighbors",
• "builtins.slice",
• "sklearn.compose._column_transformer.ColumnTransformer"

How to fix it?

• "sklearn.ensemble._forest.RandomForestRegressor",
• "sklearn.pipeline.Pipeline",
• "sklearn.preprocessing._function_transformer.FunctionTransformer",
• "numpy.ndarray",
• "numpy.float64",
• "numpy._core.multiarray._reconstruct",
• "numpy.dtype",
• "sklearn.compose._column_transformer.ColumnTransformer",
• "sklearn.tree._tree.Tree",
• "sklearn.preprocessing._encoders.OneHotEncoder",
• "sklearn.tree._classes.DecisionTreeRegressor",
• "builtins.slice"

How to fix it?

• "numpy.dtype",
• "sklearn.linear_model._logistic.LogisticRegression",
• "numpy._core.multiarray._reconstruct",
• "sklearn.feature_extraction.text.TfidfTransformer",
• "sklearn.pipeline.Pipeline",
• "sklearn.feature_extraction.text.TfidfVectorizer",
• "numpy.ndarray",
• "numpy.float64"

How to fix it?