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Hi, in #410 , I mentioned I was making bootstraps on the random forest database. It looks like I have a nice set of replicates, and now I can query against them. I extracted the predictions like so from one prediction call.
I wanted to know, is there a way to make a combined model for a single prediction call? Or is it smarter to keep each model, query against each model, and then make some kind of aggregate score? I was thinking of making an average ± stdev but I would like to know if this is something that someone has already thought of. Thank you!
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Hi, in #410 , I mentioned I was making bootstraps on the random forest database. It looks like I have a nice set of replicates, and now I can query against them. I extracted the predictions like so from one prediction call.
I wanted to know, is there a way to make a combined model for a single prediction call? Or is it smarter to keep each model, query against each model, and then make some kind of aggregate score? I was thinking of making an average ± stdev but I would like to know if this is something that someone has already thought of. Thank you!
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