class_docstr: Multi-label music mood prediction.
  
  The goal is to predict to which kinds of moods a song pertains to.
  
  References
  ----------
  [^1]: [Read, J., Reutemann, P., Pfahringer, B. and Holmes, G., 2016. MEKA: a multi-label/multi-target extension to WEKA. The Journal of Machine Learning Research, 17(1), pp.667-671.](http://www.jmlr.org/papers/v17/12-164.html)
code: def __init__(self):
      super().__init__(
          task=base.MO_BINARY_CLF,
          n_samples=593,
          n_features=72,
          n_outputs=6,
          url="https://raw.githubusercontent.com/scikit-multiflow/streaming-datasets/master/music.csv",
          size=378_980,
          unpack=False,
      )
  
imports: from __future__ import annotations
  from river import stream
  from .None import base
label_desc: Use image node_id 1 to create a new Music object from inherited base classes: base with example: obj = Music()