class_docstr: Model used to randomly predict from given series of labels.
class_docstr_tok: ["Model","used","to","randomly","predict","from","given","series","of","labels","."]
code: def __init__(self, random_state: int = 42):
      self.labels = None
      self.random_state = random_state
      np.random.seed(self.random_state)
  
imports: import numpy
label_desc: Use image node_id 1 to create a new RandomModel object  with example: obj = RandomModel(random_state)