Need more information. What is your operating system, how much memory do you have, how big is your data, what operations are you failing on, etc.
On 9/17/07, [EMAIL PROTECTED] <[EMAIL PROTECTED]> wrote: > Hi > > I am trying to use various techniques (eg svm, logistic regression, > neural networks) to classify and predict the outcome of horse races. > > Most of my predictive features are categorical - horse, jockey, trainer > - and I keep on running out of memory owing to the size of the vector. > > Does anyone know how to solve the problem? > > I have classified the outcomes as win/lose or place/lose with a view to > train on x years of results and then testing on the subsequent years > results. Is there some alternate way of looking at the problem? > > Does anyone have pointers to published work in this area? > > Thanks. > > Stephen > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > -- Jim Holtman Cincinnati, OH +1 513 646 9390 What is the problem you are trying to solve? ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
