class_docstr: A combiner for aggregating error metrics across partitions
class_docstr_tok: ["A","combiner","for","aggregating","error","metrics","across","partitions"]
code: def metrics_names(self):
      return []
  
imports: import copy
  import pipeline_dp
  from analysis import metrics
  import dataclasses
  from typing import List, Tuple, Callable
  import math
label_desc: Use image node_id 5 for calling the CrossPartitionCombiner obj's underlying member method code with example usage: obj.metrics_names() and returns: list