class_docstr: Defines the cohort which will be injected from SDK into the Dashboard.
  :param name: Name of the cohort.
  :type name: str
class_docstr_tok: ["Defines","the","cohort","which","will","be","injected","from","SDK","into","the","Dashboard",".",":","param","name",":","Name","of","the","cohort",".",":","type","name",":","str"]
docstr: Defines the cohort to be injected from SDK into the Dashboard.
  :param name: Name of the cohort.
  :type name: str
docstr_tok: ["Defines","the","cohort","to","be","injected","from","SDK","into","the","Dashboard",".",":","param","name",":","Name","of","the","cohort",".",":","type","name",":","str"]
code: def __init__(self, name: str):
      """Defines the cohort to be injected from SDK into the Dashboard.
      :param name: Name of the cohort.
      :type name: str
      """
      if not isinstance(name, str):
          raise UserConfigValidationException(
              "Got unexpected type {0} for cohort name. "
              "Expected string type.".format(type(name))
          )
      self.name = name
      self.cohort_filter_list = None
  
imports: import json
  from typing import Any, List, Optional
  import numpy
  import pandas
  from raiutils.exceptions import UserConfigValidationException
  from .constants import ClassificationOutcomes, CohortFilterMethods
label_desc: Use image node_id 1 to create a new Cohort object  with example: obj = Cohort(name)