class_docstr: This class takes a sequence and returns an iterator providing data in batches suitable for RNN
  prediction.  Meant for use when the entire dataset is small enough to fit in memory.
docstr: For resetting the starting index of this dataset back to zero.
docstr_tok: ["For","resetting","the","starting","index","of","this","dataset","back","to","zero","."]
code: def reset(self):
      """
      For resetting the starting index of this dataset back to zero.
      """
      self.batch_index = 0
  
file_path: neon/examples/timeseries/utils.py
imports: from __future__ import division
  import numpy
  import math
  from neon import NervanaObject
label_desc: Use image node_id 2 for calling the DataIteratorSequence obj's underlying member method code with example usage: obj.reset() without return types