code: def convert_model(model):
      gbm = GBTDAALRegressor()
      gbm._convert_model(model)
  
      gbm.allow_nan_ = True
      return gbm
  
imports: import numbers
  import numpy
  from sklearn import preprocessing
  from sklearn.base import BaseEstimator, ClassifierMixin, RegressorMixin
  from sklearn.utils import check_random_state
  from sklearn.utils.multiclass import check_classification_targets
  from sklearn.utils.validation import check_array, check_is_fitted, check_X_y
  import daal4py
  from .._utils import control_n_jobs, getFPType, run_with_n_jobs
label_desc: Use image node_id 3 for calling the GBTDAALRegressor obj's underlying member method code with example usage: obj.convert_model(model) and returns: gbm