class_docstr: A suite of commands that are useful for analyzing the results
  of a completed scan, or during a scan.
  
  filename :: the name of the experiment log from Scan()
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docstr: Returns a correlation table against a given metric. Drops
  all other metrics and correlates against hyperparameters only.
  
  metric | str | Column label for the metric to correlate with
  exclude | list | Column label/s to be excluded from the correlation
  
  NOTE: You should use `exclude` to avoid correlating with other metrics.
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code: def correlate(self, metric, exclude):
      """Returns a correlation table against a given metric. Drops
      all other metrics and correlates against hyperparameters only.
  
      metric | str | Column label for the metric to correlate with
      exclude | list | Column label/s to be excluded from the correlation
  
      NOTE: You should use `exclude` to avoid correlating with other metrics.
  
      """
  
      columns = [
          c for c in self.data.columns if c not in exclude + [metric]
      ]
      out = self.data[columns]
      out.insert(0, metric, self.data[metric])
  
      out = out.corr()[metric]
  
      return out[out != 1]
  
file_path: talos/talos/commands/analyze.py
label_desc: Use image node_id 6 for calling the Analyze obj's underlying member method code with example usage: obj.correlate(metric, exclude) and returns: out