Nordic Edge AI Lab - hangs

[Geoffr]

I have create a model (which is now marked as complete), but when I go to the results tab the options (and below) just show a spinning circle. How can this be fixed?

[volumeswanky]

The spinning circle in the results tab usually indicates that the Nordic Edge AI Lab tool is hanging due to a backend issue or incomplete data retrieval. The fix often involves refreshing your session, clearing cached data, or contacting Nordic support to check if the model results were properly generated and stored.

https://insinuator.net/2021/10/change-your-ble-passkey-like-you-change-your-underwear/ fnaf

[Geoffr]

I tried creating a new model with the same data and see the same thing, so sounds like a Nordic problem... How do I best contact them?

[JONATHAN LL]

Hi, 

What browser are you using ?and have you tired more then one? 

Both models are behaving the same?

I just did a run and i do not have the same issue from what i can tell. 

Have you tested with another dataset? a dummy test set that does not take that long to run?

Regards,
Jonathan

[Geoffr]

I have tried getting the results with Chrome and Brave - both act the same
And both my attempt (with the same data) act the same

I guess I'll try to gather some new data and try again 
(I while back (before nordic I created a model with Neuton, but that was an accelerometer, not audio)

[JONATHAN LL]

I tested with a dummy file, relatively small so that it did not take to long and that seems to work fine. 
You can try that and see if that works, or if you have the same issue, as collecting data can take some time, so might be faster to debug that way. 

Here is the file: Untitled1.csv

If you are willing to share the data you first tried to make a model with I can try to run it and see if I get the same issue that you have. To check if this is related to the data. 



Regards,
Jonathan

[Geoffr]

Model_Data.csv

I've attached my model data.
it's audio data:

• Sample = Audio Sample
• Target = Target sample (either 0 or 1)
• SampleNO = ID of sample (to differentiate each sample, including the Target)
• SampleID = ID of sample (without the target number)

The only features I used for the model were Sample and Target

[JONATHAN LL]

Will try your data and see if I get the same. 

Did you check with the dummy file i added? was the issue the same?

Regards,
Jonathan

[Geoffr]

I did try the dummy file from you and it works fine.

[JONATHAN LL]

Thats good to know. 

I did test you data and I do have a issue it seems, but that could be user error from my side. 

I have contacted the AI Labs team and will update. 

Regards,
Jonathan

[JONATHAN LL]

Update from the team:

We analyzed your dataset and ran an experiment. Since the dataset contains a column with Float32 values, the input data type should be set to Float32 (https://docs.nordicsemi.com/bundle/edge-ai-lab/page/doc/model_creating_pipeline/model_settings.html…).

Additionally, you can remove unnecessary columns (e.g., SampleNO, SampleID) from the dataset using our platform after uploading the data.

After changing the input data type to Float32, the training completed successfully, and we were able to download the archive from the platform.

 

Also, we have improved notifications to better support users with similar or different issues.

 

One additional note: our platform is currently focused on time-series sensor data and is not intended for processing audio data, so the results may not be fully relevant to your use case.

Update from me:
I also did a mistake here setting it to multi classification instead of Binary so will re-run it but all should be ok now.

Regards,
Jonathan