code: def _get_hyper_param(self) -> dict:
      return {
          "num_trees": self.num_trees,
          "learning_rate": self.learning_rate,
          "max_depth": self.max_depth,
          "objective": self.objective,
          "max_bin": self.max_bin,
          "l2": self.l2,
          "num_class": self.num_class,
          "complete_secure": self._complete_secure,
      }
  
imports: import numpy
  import pandas
  from typing import Optional, Union
  from fate.arch import Context
  from fate.arch.dataframe import DataFrame
  from fate.ml.ensemble.algo.secureboost.hetero._base import HeteroBoostingTree
  from fate.ml.ensemble.learner.decision_tree.hetero.guest import HeteroDecisionTreeGuest
  from fate.ml.ensemble.utils.binning import binning
  from fate.ml.ensemble.learner.decision_tree.tree_core.loss import OBJECTIVE, get_task_info, MULTI_CE, BINARY_BCE, REGRESSION_L2
  from fate.ml.ensemble.algo.secureboost.common.predict import predict_leaf_guest
  from fate.ml.utils.predict_tools import compute_predict_details, PREDICT_SCORE, BINARY, MULTI, REGRESSION
  from fate.ml.ensemble.learner.decision_tree.tree_core.decision_tree import GUEST_FEAT_ONLY, ALL_FEAT
  from fate.ml.ensemble.utils.sample import goss_sample
  import logging
label_desc: Use image node_id 11 for calling the HeteroSecureBoostGuest obj's underlying member method code with example usage: obj._get_hyper_param() and returns: dict