class_docstr: Solar flare multi-output regression.
  
  References
  ----------
  [^1]: [UCI page](https://archive.ics.uci.edu/ml/datasets/Solar+Flare)
code: def __iter__(self):
      return stream.iter_csv(
          self.path,
          target=["c-class-flares", "m-class-flares", "x-class-flares"],
          converters={
              "zurich-class": str,
              "largest-spot-size": str,
              "spot-distribution": str,
              "activity": int,
              "evolution": int,
              "previous-24h-flare-activity": int,
              "hist-complex": int,
              "hist-complex-this-pass": int,
              "area": int,
              "largest-spot-area": int,
              "c-class-flares": int,
              "m-class-flares": int,
              "x-class-flares": int,
          },
      )
  
imports: from __future__ import annotations
  from river import stream
  from .None import base
label_desc: Use image node_id 2 for calling the SolarFlare obj's underlying member method code with example usage: obj.__iter__() and returns: stream