class_docstr: This class defines methods for generating and iterating over ticker datasets.
docstr: Generator that can be used to iterate over this dataset.
  
  Yields:
      tuple : the next minibatch of data.
  
  Note:
      The second element of the tuple is itself a tuple (t,m) with:
          t: the actual target as generated by the task object
          m: the output mask to account for the difference between
              the seq_length for this minibatch and the max seq_len,
              which is also the number of columns in X,t, and m
docstr_tok: ["Generator","that","can","be","used","to","iterate","over","this","dataset",".","Yields",":","tuple",":","the","next","minibatch","of","data",".","Note",":","The","second","element","of","the","tuple","is","itself","a","tuple","(","t",",","m",")","with",":","t",":","the","actual","target","as","generated","by","the","task","object","m",":","the","output","mask","to","account","for","the","difference","between","the","seq_length","for","this","minibatch","and","the","max","seq_len",",","which","is","also","the","number","of","columns","in","X",",","t",",","and","m"]
code: def __iter__(self):
      """
      Generator that can be used to iterate over this dataset.
  
      Yields:
          tuple : the next minibatch of data.
  
      Note:
          The second element of the tuple is itself a tuple (t,m) with:
              t: the actual target as generated by the task object
              m: the output mask to account for the difference between
                  the seq_length for this minibatch and the max seq_len,
                  which is also the number of columns in X,t, and m
      """
  
      self.batch_index = 0
  
      while self.batch_index < self.nbatches:
          # The task object writes minibatch data into buffers we pass it
          self.task.synthesize(self.dev_X, self.dev_y, self.mask)
  
          self.batch_index += 1
  
          yield self.dev_X, (self.dev_y, self.mask)
  
imports: import numpy
  from neon import NervanaObject
label_desc: Use image node_id 3 for calling the Ticker obj's underlying member method code with example usage: obj.__iter__() without return types