class_docstr: HTTP dataset of the KDD 1999 cup.
  
  The goal is to predict whether or not an HTTP connection is anomalous or not. The dataset only
  contains 2,211 (0.4%) positive labels.
  
  References
  ----------
  [^1]: [HTTP (KDDCUP99) dataset](http://odds.cs.stonybrook.edu/http-kddcup99-dataset/)
code: def _iter(self):
      converters = {
          "duration": float,
          "src_bytes": float,
          "dst_bytes": float,
          "service": int,
      }
      return stream.iter_csv(
          self.path, target="service", converters=converters
      )
  
imports: from __future__ import annotations
  from river import stream
  from .None import base
label_desc: Use image node_id 2 for calling the HTTP obj's underlying member method code with example usage: obj._iter() and returns: stream