code: def converter_locallylinearembeeding(data, k):
      import shogun as sg
  
      features = sg.create_features(data)
  
      converter = sg.create_transformer("LocallyLinearEmbedding", k=k)
  
      converter.fit(features)
      features = converter.transform(features)
  
      return features
  
label_desc: Use image node_id 1 for calling a global function with example usage: converter_locallylinearembeeding(data, k) and returns: features