class_docstr: Multi-target regressor.
class_docstr_tok: ["Multi-target","regressor","."]
docstr: Predict the outputs of features `x`.
  
  Parameters
  ----------
  x
      A dictionary of features.
  
  Returns
  -------
  The predictions.
docstr_tok: ["Predict","the","outputs","of","features","`","x","`",".","Parameters","--","--","--","--","--","x","A","dictionary","of","features",".","Returns","--","--","--","-","The","predictions","."]
code: def predict_one(self, x: dict) -> dict[FeatureName, RegTarget]:
      """Predict the outputs of features `x`.
  
      Parameters
      ----------
      x
          A dictionary of features.
  
      Returns
      -------
      The predictions.
  
      """
  
file_path: river/river/base/multi_output.py
imports: from __future__ import annotations
  import abc
  from .estimator import Estimator
  from .typing import FeatureName, RegTarget
label_desc: Use image node_id 2 for calling the MultiTargetRegressor obj's underlying member method code with example usage: obj.predict_one(x) without return types