Dodging Performance Anomaly?

Fragment of a discussion from Talk:Pris
← Thread:Talk:Pris/Dodging Performance Anomaly?/reply (9)

Jump to navigation Jump to search

Executing one tree classification is pretty fast though, isn't it? I don't think 2500 of them per tick seems unreasonable. Or is it many times more than that? My main 1v1 gun does up to 13k loop iterations for its kernel density calculation, and that's on top of the kd-tree search for 225 nearest neighbors among up to ~25k data points. And the gun is the fast part of the bot. :-)

Voidious (talk)‎

You do not have permission to edit this page, for the following reasons:

The action you have requested is limited to users in the group: Users.
You must confirm your email address before editing pages. Please set and validate your email address through your user preferences.

You can view and copy the source of this page.

The problem would be training the forests, which is much slower. Training one forest would be much easier, allowing you to do more training and perhaps have a higher tree count. I plan to eventually try both anyway, but I am doing the easier approach first.

Return to Thread:Talk:Pris/Dodging Performance Anomaly?/reply (10).

Retrieved from "http://robowiki.net/wiki/Thread:Talk:Pris/Dodging_Performance_Anomaly%3F/reply_(9)#Dodging_Performance_Anomaly.3F_3835"