I looked at the inner code of HSTree and for forest models it is simply for looping through the trees and applying the reg_param update. This works, but will only use 1 CPU core. Sklearn when training these forest models uses multithreading/processing to speed things up considerably. Have the authors considered adding parallel support to HSTree for forest models?
I looked at the inner code of HSTree and for forest models it is simply for looping through the trees and applying the reg_param update. This works, but will only use 1 CPU core. Sklearn when training these forest models uses multithreading/processing to speed things up considerably. Have the authors considered adding parallel support to HSTree for forest models?