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 __init__(self):
      super().__init__(
          filename="chick-weights.csv",
          n_samples=578,
          n_features=3,
          task=base.REG,
      )
  
imports: from __future__ import annotations
  from river import stream
  from .None import base
label_desc: Use image node_id 1 to create a new ChickWeights object from inherited base classes: base with example: obj = ChickWeights()