Hi I have been working on a custom processor "ExecuteMojoScoringRecord" that integrates H2O MOJO Scoring Pipeline with NiFi to do batch scoring and real time scoring on test data to get predicted label(s). In an earlier test of the processor, I used a hydraulic system sensor data set and only predicted 1 label, which was cooling efficiency. The flow file outputted by the "ExecuteMojoScoringRecord" had content of 1 predicted label field name and field value.
However, later when I updated the Hydraulic data set by adding a cooling condition label as the last column, now the processor's MOJO was predicting cooling condition, which returns 3 predicted labels ""cool_cond_y_3, cool_cond_y_20, cool_cond_y_100" and their associated prediction values. However, the flow files coming out of this processor have empty content. The prediction values are missing. Right before the writer.write(scoredFirstRecord), I added logs into the code to see if the key value pairs of the scoredFirstRecord contained the field names and field values. The data showed up in the logs. Yet, it does not show up the flow file content. The changes I made to the output Avro schema were adding 3 field names and their field data types, which are double cause the prediction data type is Float64. Why do you think the flow file content is empty?
