class_docstr: Integer parameter for pipelines.
class_docstr_tok: ["Integer","parameter","for","pipelines","."]
docstr: Create a pipeline integer parameter.
  
  Args:
      name (str): The name of the parameter.
      default_value (int): The default value of the parameter.
          The default value could be overridden at start of an execution.
          If not set or it is set to None, a value must be provided
          at the start of the execution.
docstr_tok: ["Create","a","pipeline","integer","parameter",".","Args",":","name","(","str",")",":","The","name","of","the","parameter",".","default_value","(","int",")",":","The","default","value","of","the","parameter",".","The","default","value","could","be","overridden","at","start","of","an","execution",".","If","not","set","or","it","is","set","to","None",",","a","value","must","be","provided","at","the","start","of","the","execution","."]
code: def __init__(self, name: str, default_value: int = None):
      """Create a pipeline integer parameter.
  
      Args:
          name (str): The name of the parameter.
          default_value (int): The default value of the parameter.
              The default value could be overridden at start of an execution.
              If not set or it is set to None, a value must be provided
              at the start of the execution.
      """
      super(ParameterInteger, self).__init__(
          name=name,
          parameter_type=ParameterTypeEnum.INTEGER,
          default_value=default_value,
      )
  
imports: from __future__ import absolute_import
  from enum import Enum
  from functools import partial
  from typing import Dict, List, Type
  import attr
  from sagemaker.workflow.entities import DefaultEnumMeta, Entity, PrimitiveType, RequestType, PipelineVariable
label_desc: Use image node_id 1 to create a new ParameterInteger object from inherited base classes: Parameter with example: obj = ParameterInteger(name, default_value)