MustaphaL

/

pipeline-thickness-predictor

like 0

• "LabelEncoder.dtype",
• "numpy.ndarray",
• "numpy.dtype",
• "numpy._core.multiarray._reconstruct",
• "sklearn.preprocessing._label.LabelEncoder",
• "joblib.numpy_pickle.NumpyArrayWrapper"

How to fix it?

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

How to fix it?

• "builtins.bytearray",
• "xgboost.sklearn.XGBRegressor",
• "collections.OrderedDict",
• "xgboost.core.Booster"

How to fix it?

• "xgboost.sklearn.XGBRegressor",
• "xgboost.core.Booster",
• "builtins.bytearray",
• "collections.OrderedDict"

How to fix it?

• "sklearn._loss.link.Interval",
• "sklearn.ensemble._gb.GradientBoostingRegressor",
• "sklearn._loss.link.IdentityLink",
• "numpy.dtype",
• "sklearn.dummy.DummyRegressor",
• "sklearn._loss.loss.HalfSquaredError",
• "_loss.CyHalfSquaredError",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "numpy.ndarray"

How to fix it?

• "sklearn.ensemble._forest.RandomForestRegressor",
• "sklearn.tree._classes.DecisionTreeRegressor",
• "numpy.dtype",
• "sklearn.tree._tree.Tree",
• "numpy.ndarray",
• "joblib.numpy_pickle.NumpyArrayWrapper"

How to fix it?

• "sklearn.linear_model._ridge.Ridge",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "numpy.dtype",
• "numpy.ndarray"

How to fix it?

• "builtins.bytearray",
• "xgboost.sklearn.XGBRegressor",
• "collections.OrderedDict",
• "xgboost.core.Booster"

How to fix it?

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

How to fix it?