code: def __init__(self, *, objective="binary:logistic", **kwargs):
      super().__init__(objective=objective, **kwargs)
  
file_path: ivy/ivy/functional/frontends/xgboost/sklearn.py
imports: import ivy
  from ivy.functional.frontends.sklearn.base import BaseEstimator
  from ivy.functional.frontends.sklearn.base import ClassifierMixin
  from .training import train
  from .core import Booster
label_desc: Use image node_id 1 to create a new XGBClassifier object from inherited base classes: XGBModel, XGBClassifierBase with example: obj = XGBClassifier()