code: public <T extends ROCMultiClass> T evaluateROCMultiClass(JavaRDD<DataSet> data, int thresholdSteps, int evaluationMinibatchSize) {
          return (T)doEvaluation(data, new org.deeplearning4j.eval.ROCMultiClass(thresholdSteps), evaluationMinibatchSize);
      }
docs: Perform ROC analysis/evaluation (for the multi-class case, using {@link ROCMultiClass} on the given DataSet in a distributed manner
  
  @param data                    Test set data (to evaluate on)
  @param thresholdSteps          Number of threshold steps for ROC - see {@link ROC}
  @param evaluationMinibatchSize Minibatch size to use when performing ROC evaluation
  @return ROCMultiClass for the entire data set