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: Shows a table with hyperparameters and a given metric
  
  EXAMPLE USE:
  
  ra1 = Reporting('diabetes_1.csv')
  ra1.table(sort_by='fmeasure_acc', ascending=False)
  
  PARAMS:
  
  metric | str or list | Column labels for the metric to correlate with
  exclude | list | Column label/s to be excluded from the correlation
  sort_by | str | The colunm name sorting should be based on
  ascending | bool | Set to True when `sort_by` is to be minimized eg. loss
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code: def table(self, metric, exclude=[], sort_by=None, ascending=False):
      """Shows a table with hyperparameters and a given metric
  
      EXAMPLE USE:
  
      ra1 = Reporting('diabetes_1.csv')
      ra1.table(sort_by='fmeasure_acc', ascending=False)
  
      PARAMS:
  
      metric | str or list | Column labels for the metric to correlate with
      exclude | list | Column label/s to be excluded from the correlation
      sort_by | str | The colunm name sorting should be based on
      ascending | bool | Set to True when `sort_by` is to be minimized eg. loss
  
      """
  
      cols = self._cols(metric, exclude)
  
      if sort_by is None:
          sort_by = metric
  
      out = self.data[cols].sort_values(sort_by, ascending=ascending)
  
      return out
  
file_path: talos/talos/commands/analyze.py
label_desc: Use image node_id 14 for calling the Analyze obj's underlying member method code with example usage: obj.table(metric, exclude, sort_by, ascending) and returns: out