class_docstr: A named tuple containing relevant base and derived data that is required in
  order to call Prophet.
class_docstr_tok: ["A","named","tuple","containing","relevant","base","and","derived","data","that","is","required","in","order","to","call","Prophet","."]
code: def freq(self):
      return self.start.freq
  
imports: from typing import Callable, Dict, Iterator, List, NamedTuple, Optional
  import numpy
  import pandas
  import toolz
  from gluonts.core.component import validated
  from gluonts.dataset.common import DataEntry, Dataset
  from gluonts.model.forecast import SampleForecast
  from gluonts.model.predictor import RepresentablePredictor
label_desc: Use image node_id 3 for calling the ProphetDataEntry obj's underlying member method code with example usage: obj.freq() and returns: self