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The gbm3 library contains a function to calculate predictions from cross validated generalized boosting models. If I understood that correctly, predictions should be made for each cv fold. However, it is unclear how a GBMCVFit object containing CV gbm models is made or stored? Which functions produces as GBMCVFit object to be used for prediction?
The text was updated successfully, but these errors were encountered:
The gbm3 library contains a function to calculate predictions from cross validated generalized boosting models. If I understood that correctly, predictions should be made for each cv fold. However, it is unclear how a GBMCVFit object containing CV gbm models is made or stored? Which functions produces as GBMCVFit object to be used for prediction?
The text was updated successfully, but these errors were encountered: