class_docstr: Bike sharing station information from the city of Toulouse.
  
  The goal is to predict the number of bikes in 5 different bike stations from the city of
  Toulouse.
  
  References
  ----------
  [^1]: [A short introduction and conclusion to the OpenBikes 2016 Challenge](https://maxhalford.github.io/blog/openbikes-challenge/)
code: def _iter(self):
      return stream.iter_csv(
          self.path,
          target="bikes",
          converters={
              "clouds": int,
              "humidity": int,
              "pressure": float,
              "temperature": float,
              "wind": float,
              "bikes": int,
          },
          parse_dates={"moment": "%Y-%m-%d %H:%M:%S"},
      )
  
imports: from __future__ import annotations
  from river import stream
  from .None import base
label_desc: Use image node_id 2 for calling the Bikes obj's underlying member method code with example usage: obj._iter() and returns: stream