class_docstr: Chick weights along time.
  
  The stream contains 578 items and 3 features. The goal is to predict the weight of each chick
  along time, according to the diet the chick is on. The data is ordered by time and then by
  chick.
  
  References
  ----------
  [^1]: [Chick weight dataset overview](http://rstudio-pubs-static.s3.amazonaws.com/107631_131ad1c022df4f90aa2d214a5c5609b2.html)
code: def __iter__(self):
      return stream.iter_csv(
          self.path,
          target="weight",
          converters={
              "time": int,
              "weight": int,
              "chick": int,
              "diet": int,
          },
      )
  
imports: from __future__ import annotations
  from river import stream
  from .None import base
label_desc: Use image node_id 2 for calling the ChickWeights obj's underlying member method code with example usage: obj.__iter__() and returns: stream