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 __init__(self):
      super().__init__(
          n_samples=567_498,
          n_features=3,
          task=base.BINARY_CLF,
          url="https://maxhalford.github.io/files/datasets/kdd99_http.zip",
          size=32_400_738,
          filename="kdd99_http.csv",
      )
  
imports: from __future__ import annotations
  from river import stream
  from .None import base
label_desc: Use image node_id 1 to create a new HTTP object from inherited base classes: base with example: obj = HTTP()