code: public <T extends ROC> T evaluateROCMDS(JavaRDD<MultiDataSet> data, int rocThresholdNumSteps, int minibatchSize) {
          return (T)doEvaluationMDS(data, minibatchSize, new org.deeplearning4j.eval.ROC(rocThresholdNumSteps))[0];
      }
docs: Perform ROC analysis/evaluation on the given DataSet in a distributed manner, using the specified number of
  steps and minibatch size
  
  @param data                    Test set data (to evaluate on)
  @param rocThresholdNumSteps    See {@link ROC} for details
  @param minibatchSize           Minibatch size for evaluation
  @return ROC for the entire data set