code: def __init__(self, *args, **kwargs):
      warnings.warn(
          "XGBoostModel is deprecated and has been renamed to GBDTModel.",
          FutureWarning,
      )
      super(XGBoostModel, self).__init__(*args, **kwargs)
  
file_path: deepchem/deepchem/models/gbdt_models/gbdt_model.py
imports: import os
  import logging
  import tempfile
  import warnings
  from typing import Callable, Optional, Union
  import numpy
  from sklearn.base import BaseEstimator
  from sklearn.model_selection import train_test_split
  from deepchem.data import Dataset
  from deepchem.models.sklearn_models import SklearnModel
label_desc: Use image node_id 1 to create a new XGBoostModel object from inherited base classes: GBDTModel with example: obj = XGBoostModel()