code: public JavaDoubleRDD scoreExamples(JavaRDD<DataSet> data, boolean includeRegularizationTerms) {
          return scoreExamples(data, includeRegularizationTerms, DEFAULT_EVAL_SCORE_BATCH_SIZE);
      }
docs: Score the examples individually, using the default batch size {@link #DEFAULT_EVAL_SCORE_BATCH_SIZE}. Unlike {@link #calculateScore(JavaRDD, boolean)},
  this method returns a score for each example separately. If scoring is needed for specific examples use either
  {@link #scoreExamples(JavaPairRDD, boolean)} or {@link #scoreExamples(JavaPairRDD, boolean, int)} which can have
  a key for each example.
  
  @param data                       Data to score
  @param includeRegularizationTerms If  true: include the l1/l2 regularization terms with the score (if any)
  @return A JavaDoubleRDD containing the scores of each example
  @see MultiLayerNetwork#scoreExamples(DataSet, boolean)