class_docstr: A regressor.
class_docstr_tok: ["A","regressor","."]
docstr: Predict the output of features `x`.
  
  Parameters
  ----------
  x
      A dictionary of features.
  
  Returns
  -------
  The prediction.
docstr_tok: ["Predict","the","output","of","features","`","x","`",".","Parameters","--","--","--","--","--","x","A","dictionary","of","features",".","Returns","--","--","--","-","The","prediction","."]
code: def predict_one(self, x: dict) -> base.typing.RegTarget:
      """Predict the output of features `x`.
  
      Parameters
      ----------
      x
          A dictionary of features.
  
      Returns
      -------
      The prediction.
  
      """
  
file_path: river/river/base/regressor.py
imports: from __future__ import annotations
  import abc
  import typing
  from river import base
  from .None import estimator
label_desc: Use image node_id 2 for calling the Regressor obj's underlying member method code with example usage: obj.predict_one(x) without return types