Kato Posted June 14 Share Posted June 14 I have a model that can predict a variable based on various different parameters. The first part of my Seeq Data Lab project builds the model, and the second part applies the model on live data and pushes the results back to Seeq. How do I schedule the cells with the model application to run every minute, but let the model building cells run every month? 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 - Is there a reason you would not want to split this into two separate projects and schedule them independently? For example, you could store the model training output in a pickle df.to_pickle('filename.pkl') and read it in your model execution script pd.read_pickle('filename.pkl'). Every month, the training script would be scheduled to update the .pkl file with the new parameters. The model execution notebook would be scheduled on a higher frequency using the parameters in the .pkl file. 1 Link to comment Share on other sites More sharing options...
Kato Posted June 17 Author Share Posted June 17 This worked perfectly! Thank you so much. Link to comment Share on other sites More sharing options...
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