class_docstr: Model that draws predictions uniformly at random from the list of classes in y.
class_docstr_tok: ["Model","that","draws","predictions","uniformly","at","random","from","the","list","of","classes","in","y","."]
code: def __init__(self):
      self.unique_labels = None
  
imports: import numpy
label_desc: Use image node_id 1 to create a new ClassificationUniformModel object  with example: obj = ClassificationUniformModel()