code: def _outcome_transform_argparse_base(
      outcome_transform_class: Type[OutcomeTransform],
      dataset: Optional[SupervisedDataset] = None,
      outcome_transform_options: Optional[Dict[str, Any]] = None,
  ) -> Dict[str, Any]:
      """
      Extract the outcome transform kwargs from the given arguments.
  
      Args:
          outcome_transform_class: Outcome transform class.
          dataset: Dataset containing feature matrix and the response.
          outcome_transform_options: An optional dictionary of outcome transform options.
              This may include overrides for the above options. For example, when
              `outcome_transform_class` is Standardize this dictionary might include
              {
                  "m": 1, # the output dimension
              }
              See `botorch/models/transforms/outcome.py` for more options.
  
      Returns:
          A dictionary with outcome transform kwargs.
      """
      return outcome_transform_options or {}
  
imports: from __future__ import annotations
  from typing import Any, Dict, Optional, Type
  from ax.utils.common.typeutils import _argparse_type_encoder
  from botorch.models.transforms.outcome import OutcomeTransform, Standardize
  from botorch.utils.datasets import SupervisedDataset
  from botorch.utils.dispatcher import Dispatcher
label_desc: Use image node_id 1 for calling a global function with example usage: _outcome_transform_argparse_base(outcome_transform_class, dataset, outcome_transform_options) and returns: unknown