original_docstring: 
          Computes and saves a set of nearest neighbors in each embedding set according
          to the Field.POSITION values. This can be accessed after completing this
          step by inspecting the neighbors property of the embedding.
          
docstring: Computes and saves a set of nearest neighbors in each embedding set according
  to the Field.POSITION values. This can be accessed after completing this
  step by inspecting the neighbors property of the embedding.
docstring_tokens: Computes and saves a set of nearest neighbors in each embedding set according to the Field . POSITION values . This can be accessed after completing this step by inspecting the neighbors property of the embedding .
code: def compute_neighbors(self, n_neighbors=100, metric=None):
          """
          Computes and saves a set of nearest neighbors in each embedding set according
          to the Field.POSITION values. This can be accessed after completing this
          step by inspecting the neighbors property of the embedding.
          """
          for emb in self.embeddings:
              emb.compute_neighbors(n_neighbors=n_neighbors, metric=metric)
code_tokens: def compute_neighbors ( self , n_neighbors = 100 , metric = None ) : for emb in self . embeddings : emb . compute_neighbors ( n_neighbors = n_neighbors , metric = metric )
short_docstring: Computes and saves a set of nearest neighbors in each embedding set according
  to the Field.POSITION values.
short_docstring_tokens: Computes and saves a set of nearest neighbors in each embedding set according to the Field . POSITION values .
comment: """
          Computes and saves a set of nearest neighbors in each embedding set according
          to the Field.POSITION values. This can be accessed after completing this
          step by inspecting the neighbors property of the embedding.
          """