class_docstr: A clustering model.
docstr: Predicts the cluster number for a set of features `x`.
  
  Parameters
  ----------
  x
      A dictionary of features.
  
  Returns
  -------
  A cluster number.
docstr_tok: ["Predicts","the","cluster","number","for","a","set","of","features","`","x","`",".","Parameters","--","--","--","--","--","x","A","dictionary","of","features",".","Returns","--","--","--","-","A","cluster","number","."]
code: def predict_one(self, x: dict) -> int:
      """Predicts the cluster number for a set of features `x`.
  
      Parameters
      ----------
      x
          A dictionary of features.
  
      Returns
      -------
      A cluster number.
  
      """
  
file_path: river/river/base/clusterer.py
imports: from __future__ import annotations
  import abc
  from .None import estimator
label_desc: Use image node_id 3 for calling the Clusterer obj's underlying member method code with example usage: obj.predict_one(x) without return types