# Multiple outputs - classification and regression
**URL:** https://community.konduit.ai/t/multiple-outputs-classification-and-regression/923
**Category:** DL4J
**Created:** [October 12, 2020, 2:22pm UTC](https://community.konduit.ai/t/multiple-outputs-classification-and-regression/923 "2020-10-12T14:22:30Z")
**Posts on this page:** 4
**Page:** 1
### Author:  [@lavajaw](https://community.konduit.ai/u/lavajaw)
#### Post date: [October 12, 2020, 2:22pm UTC](https://community.konduit.ai/t/multiple-outputs-classification-and-regression/923/1 "2020-10-12T14:22:30Z")
I have model with 2 outputs. One output is for classification problem - gender classification and other output is for age regression. I cant run RegressionEvaluation and Evaluation in same time.
EvaluativeListener(@NonNull MultiDataSetIterator iterator, int frequency, @NonNull InvocationType type,
IEvaluation… evaluations)
This listener receive array of IEvaluation, but if you add regression and classification evaluation it will break in runtime when it start evaluations…
ImageRecordReader imageRecordReaderAge = new ImageRecordReader(height, width, channels, labelMakerAge);
imageRecordReaderAge.initialize(dataAge, getImageTransform(isTraining));
ImageRecordReader imageRecordReaderGender = new ImageRecordReader(height, width, channels, labelMakerGender);
imageRecordReaderGender.initialize(dataGender, getImageTransform(isTraining));
```
MultiDataSetIterator iterator = new RecordReaderMultiDataSetIterator.Builder(batchSize)
.addReader("inputAge", imageRecordReaderAge)
.addReader("inputGender", imageRecordReaderGender)
.addInput("inputAge", 0, 0)
.addInput("inputGender", 0, 0)
.addOutput("inputAge", 1, 1)
.addOutput("inputGender", 1, 1)
iterator.setPreProcessor(dataNormalization);
RegressionEvaluation regressionEvaluation = new RegressionEvaluation();
//Evaluation evaluation = new Evaluation(labels);
return new EvaluativeListener(dataSetIterator, frequency, type, regressionEvaluation);
```
Also EarlyStoppingConfiguration receive only one scoreCalculator and it must be DataSetLossCalculator.
Is posible to monitor both evaluations in same time?
---
### Author:  [@lavajaw](https://community.konduit.ai/u/lavajaw)
#### Post date: [October 15, 2020, 1:36pm UTC](https://community.konduit.ai/t/multiple-outputs-classification-and-regression/923/2 "2020-10-15T13:36:34Z")
Any solution for this?
---
### Author:  [@agibsonccc](https://community.konduit.ai/u/agibsonccc)
#### Post date: [October 15, 2020, 10:24pm UTC](https://community.konduit.ai/t/multiple-outputs-classification-and-regression/923/3 "2020-10-15T22:24:28Z")
> [@lavajaw](#):
>
> so EarlyStoppingConfiguration receive only one scoreCalculator and it must be D
@lavajaw those evaluations were built with 1 output in mind. I would suggest setting up 2 separate objects and accumulate them for each one. Use a listener as a hook for setting up the pre processing.
Those evaluate objects can be updated with the .eval(…) methods:
>
You will just have to do the tracking yourself.
---
### Author:  [@lavajaw](https://community.konduit.ai/u/lavajaw)
#### Post date: [October 15, 2020, 10:30pm UTC](https://community.konduit.ai/t/multiple-outputs-classification-and-regression/923/4 "2020-10-15T22:30:45Z")
@agibsonccc I will do, thanks.