class_docstr: Simulated Task consisting in fitting a Extreme-Gradient Boosting predictor.
code: def call(
      self,
      learning_rate: float,
      gamma: float,
      l1_regularization: float,
      l2_regularization: float,
      nb_estimators: int,
      subsampling: float,
      max_depth: int,
      min_child_weight: int,
  ) -> List[Dict]:
      return super().call(
          learning_rate=learning_rate,
          gamma=gamma,
          l1_regularization=l1_regularization,
          l2_regularization=l2_regularization,
          nb_estimators=nb_estimators,
          subsampling=subsampling,
          max_depth=max_depth,
          min_child_weight=min_child_weight,
      )
  
imports: from dataclasses import dataclass
  from typing import ClassVar, Dict, List, Tuple
  from orion.benchmark.task.profet.profet_task import ProfetTask
label_desc: Use image node_id 1 for calling the ProfetXgBoostTask obj's underlying member method code with example usage: obj.call(learning_rate, gamma, l1_regularization, l2_regularization, nb_estimators, subsampling, max_depth, min_child_weight) and returns: super