class_docstr: Configuration builder for WitWidget settings.
docstr: Sets if the model(s) to query are mutliclass classification models.
  
  Args:
    multiclass: True if the model or models are multiclass classififcation
    models. Defaults to false.
  
  Returns:
    self, in order to enabled method chaining.
docstr_tok: ["Sets","if","the","model","(","s",")","to","query","are","mutliclass","classification","models",".","Args",":","multiclass",":","True","if","the","model","or","models","are","multiclass","classififcation","models",".","Defaults","to","false",".","Returns",":","self",",","in","order","to","enabled","method","chaining","."]
code: def set_multi_class(self, multiclass):
      """Sets if the model(s) to query are mutliclass classification models.
  
      Args:
        multiclass: True if the model or models are multiclass classififcation
        models. Defaults to false.
  
      Returns:
        self, in order to enabled method chaining.
      """
      self.store("multiclass", multiclass)
      return self
  
imports: import sys
  import tensorflow
label_desc: Use image node_id 19 for calling the WitConfigBuilder obj's underlying member method code with example usage: obj.set_multi_class(multiclass) and returns: self