code: def pred(self, data):
      args = (data, self.weight, self.base_margin)
      if self.compile:
          return self._comp_pred(*args)
      else:
          return _pred(*args)
  
file_path: ivy/ivy/functional/frontends/xgboost/gbm/gbm.py
imports: import ivy
  from ivy.functional.frontends.xgboost.objective.regression_loss import LogisticRegression
  from ivy.functional.frontends.xgboost.linear.updater_coordinate import coordinate_updater
  from copy import deepcopy
label_desc: Use image node_id 5 for calling the GBLinear obj's underlying member method code with example usage: obj.pred(data) and returns: self, _pred