public JavaDoubleRDD scoreExamples(JavaRDD<DataSet> data, boolean includeRegularizationTerms) {
        return scoreExamples(data, includeRegularizationTerms, DEFAULT_EVAL_SCORE_BATCH_SIZE);
    }
public JavaDoubleRDD scoreExamples ( JavaRDD < DataSet > data , boolean includeRegularizationTerms ) { return scoreExamples ( data , includeRegularizationTerms , DEFAULT_EVAL_SCORE_BATCH_SIZE ) ; }
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)