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Applying a created datamodel


Kato
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I've created a random forest datamodel that predicts a certain parameter based on 10 different variables. Is there a way to apply this datamodel on live data and create a Seeq tag for the result?

Edited by Kato
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  • Kato changed the title to Applying a created datamodel
  • Seeq Team
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Hi Kato - Yes, you can apply your model on data in Seeq, although it won't be "live" in the sense of streaming results as new samples come in. 

What we usually do in a situation like this is to schedule the notebook using `spy.jobs.schedule()` to pull in the latest input data, apply the model, and then push the results back to Seeq. 

Check out the "spy.pull.ipynb", "spy.push.ipynb", and "spy.jobs.ipynb" notebooks in the "SPy Documentation" folder for examples.
 

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  • Seeq Team

Hi Kato - I noticed you replied earlier with a follow-up question but it looks like it was removed.  I assume the above approach worked for you?  If not, let me know.

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