class_docstr: Data from the Kaggle Recruit Restaurants challenge.
  
  The goal is to predict the number of visitors in each of 829 Japanese restaurants over a priod
  of roughly 16 weeks. The data is ordered by date and then by restaurant ID.
  
  References
  ----------
  [^1]: [Recruit Restaurant Visitor Forecasting](https://www.kaggle.com/c/recruit-restaurant-visitor-forecasting)
code: def __init__(self):
      super().__init__(
          n_samples=252_108,
          n_features=7,
          task=base.REG,
          url="https://maxhalford.github.io/files/datasets/kaggle_recruit_restaurants.zip",
          size=28_881_242,
          filename="kaggle_recruit_restaurants.csv",
      )
  
file_path: river/river/datasets/restaurants.py
imports: from __future__ import annotations
  import ast
  from river import stream
  from .None import base
label_desc: Use image node_id 1 to create a new Restaurants object from inherited base classes: base with example: obj = Restaurants()