search for: cubist

Cubist is a rule-based machine learning model for regression. Parts of the Cubist model are described in: Quinlan. Learning with continuous classes. Proceedings of the 5th Australian Joint Conference On Artificial Intelligence (1992) pp. 343-348 Quinlan. Combining instance-based and model-ba...

Cubist is a rule-based machine learning model for regression. Parts of the Cubist model are described in: Quinlan. Learning with continuous classes. Proceedings of the 5th Australian Joint Conference On Artificial Intelligence (1992) pp. 343-348 Quinlan. Combining instance-based and model-ba...

Hello, This is perhaps more of a regression question than R, but I am learning both, so would appreciate your wisdom here. I have some data which reflects power load for an electrical generating system, with some temporal features. The data fields look like this: D,MON,DAY,YR,HR,WDAY,DRYBULB,WETBULB,LOAD 4455 5 13 92 13 4 70 63 1617 4456 3 9 92 13 2 73

...the function. Formula methods are really inefficient at this time for large dimensional data but are fantastically convenient. There are some good reasons to not use formulas, such as functions that do not use a design matrix (eg. cforest()) or need factors to be handled in a non-standard way (eg. cubist()). (6) Don't require a test set when model building. (7) Control all written output during model-building time with a verbose option. Resampling can make a mess out of things if output/logging is always exposed. (8) Please use RSiteSearch to avoid name collisions between packages (eg. gam()...

...reproduce the warning, or is this something specific to a particular gcc version? My gcc version 8.1.1 20180502 (Red Hat 8.1.1-1). Thanks, Peter On Sat, May 5, 2018 at 11:53 PM Prof Brian Ripley <ripley at stats.ox.ac.uk> wrote: > > This concerns CRAN packages > > Amelia C50 Cubist Cyclops DetSel GENLIB IRISSeismic KSgeneral > MigClim MonetDBLite Numero OpenMx PBSmapping PSPManalysis > PropClust RArcInfo RandomFields RandomFieldsUtils RcppMsgPack > RcppParallel RcppRedis RecordLinkage Rmalschains RnavGraph Rvcg > RxODE SiMRiv antiword bigrquery bsamGP catnet coxme...

Hi All, I am trying to use the C50 package to build classification trees in R. Unfortunately there is not enought documentation around its use. Can anyone explain to me - how to prune the decision trees? Regards, Indrajit [[alternative HTML version deleted]]

Last week I had the pleasure of attending the Raleigh area Ruby users Meetup. It was very interesting and very informative. I did feel a bit out of place when we noticed that of the 11-12 people there, I was the only one with a PC laptop. The rest were shiny macs. Ah well, I need to replace this thing soon, and now that BootCamp is out, I really have no more excuses. This way I can test

Bradley Taylor shot me this *goldmine* of ugly ugly ugly dogs: http://www.sonoma-marinfair.org/uglydogvote.shtml I *have* to use one of these for the Mongrel BUGS Mascot. He''ll go on our bug list page and replace the little beetles on the left. Pick the dog you think best represents a lovable but defective pooch and reply to this with your +1. Let the voting begin! -- Zed A. Shaw