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If we plan to share triage with the partners, the current implementation of timechop recreates all the matrices (because you are moving the last day) everytime that you update the experiment's temporal configuration.
If the partner (or ourselves) want to run the experiment "the 5th of everymonth" timechop should take that information don't create new matrices and just train with the new data. Also this interface potentially is more easy to explain that the actual setup.
But what are your ideas?
The text was updated successfully, but these errors were encountered:
What exactly would we do with the new date ('5th of every month')? What time range should it train on? I interpret the given date as the 'train end date'...what is the train start date? Are we always just creating one train matrix in these scenarios? In other words, how much of the experiment's original time config is this new operation subject to?
If we plan to share
triage
with the partners, the current implementation of timechop recreates all the matrices (because you are moving the last day) everytime that you update the experiment's temporal configuration.If the partner (or ourselves) want to run the experiment "the 5th of everymonth" timechop should take that information don't create new matrices and just train with the new data. Also this interface potentially is more easy to explain that the actual setup.
But what are your ideas?
The text was updated successfully, but these errors were encountered: