original_docstring: 
          Converts this set of embeddings into a JSON object.
          
          compressed: whether to format Embedding JSON objects using base64 strings
              instead of as human-readable float arrays
          save_neighbors: If True, save the Neighbors into the "neighbors" key
              of each individual embedding
          num_neighbors: number of neighbors to write for each point (can considerably
              save memory)
          
docstring: Converts this set of embeddings into a JSON object.
  compressed: whether to format Embedding JSON objects using base64 strings
  instead of as human-readable float arrays
  save_neighbors: If True, save the Neighbors into the "neighbors" key
  of each individual embedding
  num_neighbors: number of neighbors to write for each point (can considerably
  save memory)
docstring_tokens: Converts this set of embeddings into a JSON object . compressed : whether to format Embedding JSON objects using base64 strings instead of as human - readable float arrays save_neighbors : If True save the Neighbors into the " neighbors " key of each individual embedding num_neighbors : number of neighbors to write for each point ( can considerably save memory )
code: def to_json(self, compressed=True, save_neighbors=True, num_neighbors=None):
          """
          Converts this set of embeddings into a JSON object.
          
          compressed: whether to format Embedding JSON objects using base64 strings
              instead of as human-readable float arrays
          save_neighbors: If True, save the Neighbors into the "neighbors" key
              of each individual embedding
          num_neighbors: number of neighbors to write for each point (can considerably
              save memory)
          """
          return {
              "data": [emb.to_json(compressed=compressed,
                                   save_neighbors=save_neighbors,
                                   num_neighbors=num_neighbors) for emb in self.embeddings],
              "frameLabels": [emb.label or "Frame {}".format(i) for i, emb in enumerate(self.embeddings)]
          }
code_tokens: def to_json ( self , compressed = True , save_neighbors = True , num_neighbors = None ) : return { "data" : [ emb . to_json ( compressed = compressed , save_neighbors = save_neighbors , num_neighbors = num_neighbors ) for emb in self . embeddings ] , "frameLabels" : [ emb . label or "Frame {}" . format ( i ) for i , emb in enumerate ( self . embeddings ) ] }
short_docstring: Converts this set of embeddings into a JSON object.
short_docstring_tokens: Converts this set of embeddings into a JSON object .
comment: """
          Converts this set of embeddings into a JSON object.
          
          compressed: whether to format Embedding JSON objects using base64 strings
              instead of as human-readable float arrays
          save_neighbors: If True, save the Neighbors into the "neighbors" key
              of each individual embedding
          num_neighbors: number of neighbors to write for each point (can considerably
              save memory)
          """