class_docstr: Monthly number of international airline passengers.
  
  The stream contains 144 items and only one single feature, which is the month. The goal is to
  predict the number of passengers each month by capturing the trend and the seasonality of the
  data.
  
  References
  ----------
  [^1]: [International airline passengers: monthly totals in thousands. Jan 49 – Dec 60](https://datamarket.com/data/set/22u3/international-airline-passengers-monthly-totals-in-thousands-jan-49-dec-60#!ds=22u3&display=line)
code: def __init__(self):
      super().__init__(
          filename="airline-passengers.csv",
          task=base.REG,
          n_features=1,
          n_samples=144,
      )
  
imports: from __future__ import annotations
  from river import stream
  from .None import base
label_desc: Use image node_id 1 to create a new AirlinePassengers object from inherited base classes: base with example: obj = AirlinePassengers()