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