Kato Posted June 12 Share Posted June 12 (edited) 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 June 12 by Kato 1 Link to comment Share on other sites More sharing options...
Seeq Team Solution Patrick Posted June 14 Seeq Team Solution Share Posted June 14 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. Link to comment Share on other sites More sharing options...
Seeq Team Patrick Posted June 18 Seeq Team Share Posted June 18 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. Link to comment Share on other sites More sharing options...
Kato Posted July 29 Author Share Posted July 29 Yes, I managed to get everything to work using your tips! Thanks, Patrick 🙂 Link to comment Share on other sites More sharing options...
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