How do I generate output from ML extractor trainer activity?

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1

How do I generate output from ML extractor trainer activity? For context, I am using classic DU (AI Center). In my extractor trainer activity, I am specifying the local output folder as well as the dataset in AI Center where I want the validated results to be placed but I do not see the results in either location. What am I doing wrong?

trainer activity
trainer activity358×489 17.9 KB

2

Hey @lomasd12, Make sure you’ve enabled “Export Results” in the Machine Learning Extractor Trainer activity properties. Without that, the output won’t be saved locally or sent to AI Center. Also, double-check that the in_Config("ExportsFolder") path is correctly initialized and accessible at runtime. For AI Center output, ensure that the API key, endpoint, and dataset permissions are correctly set and that the dataset exists under the selected project in AI Center. Finally, verify if any errors appear in the Output or Logs panel during execution.

3

Hello Jasim,

I do not see any properties in the trainer activity for enabling “export results.” Also, I do not see any permission configurations for the dataset in AI Center. Did I miss something? Aside from that, I have verified everything else to my knowledge

trainer properties
trainer properties1114×598 25.1 KB

A form interface for editing dataset details, including name, description, and public visibility settings, with submit and cancel buttons. (Captioned by AI)
A form interface for editing dataset details, including name, description, and public visibility settings, with submit and cancel buttons. (Captioned by AI)1420×792 37 KB

4

To enable result export in the ML Extractor Trainer activity, ensure the OutputFolder property is properly set (manually or via config). There’s no explicit “Export Results” toggle—the output works if the dataset and project are configured correctly. Use either a public or private dataset—not both—based on your setup. For private datasets, select the correct Dataset and Project, and avoid setting the API key or endpoint. If using a public dataset, provide only the API key and endpoint. Also, confirm your AI Center permissions (ML Package Contributor or Consumer) are sufficient. Make sure “Make dataset Public” is unchecked if working with a private dataset. Once these settings are in place, results will be saved to the specified folder automatically when you run the workflow.

5

Hey @lomasd12,

If the issue has been resolved then please mark as solution or let me know the current status.

6

Still no success

I have verified the API key and endpoint are supplied to the activity. The local output folder is correctly configured.

training activity
training activity459×609 22.5 KB

The dataset is configured as public

make public option
make public option721×633 29.1 KB

And I have full privilege in AI Center

AI Center privilege
AI Center privilege719×267 21.7 KB

Finally, my version of Ai Center/Automation suite is 2023.10

7

Hey @lomasd12,

You’ve configured everything correctly—API key, endpoint, and public dataset with full AI Center permissions.

However, one key point to check:
Make sure the dataset is already linked to the ML skill used in your “Train Extractors” activity.

If it’s not linked:

  1. Go to AI Center > ML Skills.
  2. Edit the skill and confirm your dataset is selected.
  3. Re-deploy if needed.

Still fails? Try regenerating and updating the API key.