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Hi @gufengzhou ,
I am trying to train the model with data spread across ~17 states. Approx record count is around 40k.
For each state, robyn takes around 21 minutes to run with 2000 iterations and 5 trials.
Is there any way we can reduce the time taken to run by keeping the same parameters mentioned above?
I have a requirement to run it across a few hundred regions hence the question.
Any help would be appreciated.
Thank you
The text was updated successfully, but these errors were encountered:
You could speed things up by using more cores in robyn_run. Otherwise it'd be a standalone effort to focus on speed improvement that's unfortunately not on the current plan due to resource.
Hi @gufengzhou ,
I am trying to train the model with data spread across ~17 states. Approx record count is around 40k.
For each state, robyn takes around 21 minutes to run with 2000 iterations and 5 trials.
Is there any way we can reduce the time taken to run by keeping the same parameters mentioned above?
I have a requirement to run it across a few hundred regions hence the question.
Any help would be appreciated.
Thank you
The text was updated successfully, but these errors were encountered: