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In my process, I noticed that the predict function predicts my new data for every chain and every iteration - the burn-in. Wouldn't it be nice and much faster to be able to directly address a specific chain/all chains and maybe the last 200 iterations (or something else) that should be predicted?
As I am quite busy at the moment, I am not able to look at your code and I don't know how "simple" can be realized, but from my "outside view" it might not be that difficult. Might it be "just" an implementation of how many iterations/chains are extracted from the model object and handled in the function!?
All the best
Louis
The text was updated successfully, but these errors were encountered:
Hi @vdorie,
In my process, I noticed that the predict function predicts my new data for every chain and every iteration - the burn-in. Wouldn't it be nice and much faster to be able to directly address a specific chain/all chains and maybe the last 200 iterations (or something else) that should be predicted?
Something like this:
model: chains = 6, iterations-burnin = 2500
As I am quite busy at the moment, I am not able to look at your code and I don't know how "simple" can be realized, but from my "outside view" it might not be that difficult. Might it be "just" an implementation of how many iterations/chains are extracted from the model object and handled in the function!?
All the best
Louis
The text was updated successfully, but these errors were encountered: