code: def _generateExtraMetricSpecs(options):
    
    _metricSpecSchema = {'properties': {}}
  
    results = []
    for metric in options['metrics']:
  
      for propertyName in _metricSpecSchema['properties'].keys():
        _getPropertyValue(_metricSpecSchema, propertyName, metric)
  
  
      specString, label = _generateMetricSpecString(
                                            field=metric['field'],
                                            metric=metric['metric'],
                                            params=metric['params'],
                                            inferenceElement=\
                                                      metric['inferenceElement'],
                                            returnLabel=True)
      if metric['logged']:
        options['loggedMetrics'].append(label)
  
      results.append(specString)
  
    return results
docs: Generates the non-default metrics specified by the expGenerator params