      ) -> Dict[str, Union[float, dict]]:
          """Evaluate a model's pipeline components.
  
          examples (Iterable[Example]): `Example` objects.
          verbose (bool): Print debugging information.
          batch_size (int): Batch size to use.
          scorer (Optional[Scorer]): Scorer to use. If not passed in, a new one
              will be created.
          component_cfg (dict): An optional dictionary with extra keyword
              arguments for specific components.
 
</s> remove         scores: Iterable[str] = tuple(),
        default_score_weights: Dict[str, float] = SimpleFrozenDict(),
 </s> add  </s> remove         scores (Iterable[str]): All scores set by the component if it's trainable,
            e.g. ["ents_f", "ents_r", "ents_p"].
        default_score_weights (Dict[str, float]): The scores to report during
            training, and their default weight towards the final score used to
            select the best model. Weights should sum to 1.0 per component and
            will be combined and normalized for the whole pipeline.
 </s> add  </s> remove         getter (Callable[[Doc, str], Any]): Defaults to getattr. If provided,
            getter(doc, attr) should return the spans for the individual doc.
 </s> add         getter (Callable[[Doc, str], Iterable[Span]]): Defaults to getattr. If
            provided, getter(doc, attr) should return the spans for the
            individual doc. </s> remove         getter: Callable[[Doc, str], Any] = getattr,
 </s> add         getter: Callable[[Doc, str], Iterable[Span]] = getattr, </s> remove         verbose: bool = False,
 </s> add 
      ) -> Dict[str, Union[float, dict]]:
          """Evaluate a model's pipeline components.
  
          examples (Iterable[Example]): `Example` objects.

          batch_size (int): Batch size to use.
          scorer (Optional[Scorer]): Scorer to use. If not passed in, a new one
              will be created.
          component_cfg (dict): An optional dictionary with extra keyword
              arguments for specific components.
keep keep keep keep replace keep keep keep keep keep
 Update docs, types and API consistency 
spacy/language.py