code: def __sklearn_is_fitted__(self):
      return hasattr(self, "_Booster")
  
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 2 for calling the XGBModel obj's underlying member method code with example usage: obj.__sklearn_is_fitted__() and returns: hasattr