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Hi, I'm writing to a sparse 2500x180000 matrix in a column wise random access pattern and I'm facing very strong performance issues which I'm not facing with the dense implementation ( where I'm facing main memory issues...
Dear List, I'm quite new to R and want to do logistic regression with a 200K feature data set (around 150 training examples). I'm aware that I should use Naive Bayes but I have a more general question...
ok, so 200K predictors an 10M observations would work? On 12/12/2013 12:12 PM, Eik Vettorazzi wrote: > it is simply because you can't do a regression with more predictors than > observations. > > Cheers. > > Am 12.12.2013 09...
Dear Eik, thank you so much for your help! best Regards, Romeo On 12/12/2013 12:51 PM, Eik Vettorazzi wrote: > I thought so (with all the limitations due to collinearity and so on), > but actually there is a...
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