class_docstr: Parent class for checks that only use one dataset.
class_docstr_tok: ["Parent","class","for","checks","that","only","use","one","dataset","."]
docstr: Initialize run before starting updating on batches. Optional.
docstr_tok: ["Initialize","run","before","starting","updating","on","batches",".","Optional","."]
code: def initialize_run(self, context: Context, dataset_kind: DatasetKind):
      """Initialize run before starting updating on batches. Optional."""
      pass
  
imports: from typing import Any
  from deepchecks.core.check_result import CheckResult
  from deepchecks.core.checks import DatasetKind, ModelOnlyBaseCheck, SingleDatasetBaseCheck, TrainTestBaseCheck
  from deepchecks.utils.ipython import ProgressBarGroup
  from deepchecks.vision import deprecation_warnings
  from deepchecks.vision._shared_docs import docstrings
  from deepchecks.vision.context import Context
  from deepchecks.vision.vision_data import VisionData
  from deepchecks.vision.vision_data.batch_wrapper import BatchWrapper
label_desc: Use image node_id 2 for calling the SingleDatasetCheck obj's underlying member method code with example usage: obj.initialize_run(context, dataset_kind) without return types