class_docstr: Insects dataset.
  
  This dataset has different variants, which are:
  
  - abrupt_balanced
  - abrupt_imbalanced
  - gradual_balanced
  - gradual_imbalanced
  - incremental-abrupt_balanced
  - incremental-abrupt_imbalanced
  - incremental-reoccurring_balanced
  - incremental-reoccurring_imbalanced
  - incremental_balanced
  - incremental_imbalanced
  - out-of-control
  
  The number of samples and the difficulty change from one variant to another. The number of
  classes is always the same (6), except for the last variant (24).
  
  Parameters
  ----------
  variant
      Indicates which variant of the dataset to load.
  
  References
  ----------
  [^1]: [USP DS repository](https://sites.google.com/view/uspdsrepository)
  [^2]: [Souza, V., Reis, D.M.D., Maletzke, A.G. and Batista, G.E., 2020. Challenges in Benchmarking Stream Learning Algorithms with Real-world Data. arXiv preprint arXiv:2005.00113.](https://arxiv.org/abs/2005.00113)
code: def _repr_content(self):
      return {**super()._repr_content, "Variant": self.variant}
  
file_path: river/river/datasets/insects.py
imports: from __future__ import annotations
  from river import stream
  from .None import base
label_desc: Use image node_id 3 for calling the Insects obj's underlying member method code with example usage: obj._repr_content() and returns: dict