code: def make_table(distance, outlier_percentage, influence_threshold):
      columns = [
          "distance",
          "instance_indicies",
          "outlier_percentage",
          "influence_threshold",
      ]
  
      data = [
          [
              distance[i],
              i,
              utils.round_3(outlier_percentage),
              influence_threshold,
          ]
          for i in range(len(distance))
      ]
  
      table = wandb.Table(columns=columns, data=data)
  
      return table
  
imports: from warnings import simplefilter
  import numpy
  import wandb
  from wandb.sklearn import utils
label_desc: Use image node_id 2 for calling a global function with example usage: make_table(distance, outlier_percentage, influence_threshold) and returns: table