class_docstr: NLP suite to run checks of types: TrainTestCheck, SingleDatasetCheck, ModelOnlyCheck.
class_docstr_tok: ["NLP","suite","to","run","checks","of","types",":","TrainTestCheck",",","SingleDatasetCheck",",","ModelOnlyCheck","."]
docstr: Return tuple of supported check types of this suite.
docstr_tok: ["Return","tuple","of","supported","check","types","of","this","suite","."]
code: def supported_checks(cls) -> Tuple:
      """Return tuple of supported check types of this suite."""
      return TrainTestCheck, SingleDatasetCheck
  
file_path: deepchecks/deepchecks/nlp/suite.py
imports: from typing import List, Optional, Tuple, Union
  from deepchecks.core import DatasetKind
  from deepchecks.core.check_result import CheckFailure
  from deepchecks.core.suite import BaseSuite, SuiteResult
  from deepchecks.nlp._shared_docs import docstrings
  from deepchecks.nlp.base_checks import SingleDatasetCheck, TrainTestCheck
  from deepchecks.nlp.context import Context, TTextPred, TTextProba
  from deepchecks.nlp.text_data import TextData
  from deepchecks.utils.ipython import create_progress_bar
label_desc: Use image node_id 1 for calling the Suite obj's underlying member method code with example usage: obj.supported_checks(cls) and returns: TrainTestCheck,  SingleDatasetCheck