code: def _get_init_args(self, problem_type: str) -> dict:
      init_args = self.init_args
      if init_args is None:
          init_args = dict()
      init_args = init_args.copy()
      if "label" not in init_args:
          init_args["label"] = "_target_"
      if "problem_type" not in init_args:
          init_args["problem_type"] = problem_type
      if "eval_metric" not in init_args:
          init_args["eval_metric"] = self.eval_metric
      if "path" not in init_args:
          init_args["path"] = self.path
      if "verbosity" not in init_args:
          init_args["verbosity"] = self.verbosity
      return init_args
  
file_path: autogluon/tabular/src/autogluon/tabular/experimental/_scikit_mixin.py
imports: from __future__ import annotations
  import pandas
  from sklearn.utils.validation import check_array, check_is_fitted
label_desc: Use image node_id 1 for calling the ScikitMixin obj's underlying member method code with example usage: obj._get_init_args(problem_type) and returns: init_args