On 08/11/2011 01:01 PM, Andra Isan wrote:
Hi All, I am trying to run cv.glmnet(x,y,family="multinomial", nfolds =4) and I only have 8 observations and the number of features I have is 1000, so my x matrix is 8 by 1000 and when I run the following, I get this error, I am not sure what is causing this problem. Error in predmat[which, , seq(nlami)] = preds : number of items to replace is not a multiple of replacement length Can it be because the number of observations is small? Thanks a lot,Andra [[alternative HTML version deleted]]
1) My guess is that you do not have an observation in each class in each fold. It would be rather difficult to estimate the probability of belonging to a class without any data.
2) Do you really hope to obtain a meaningful fit for a multinomial model with only 8 observations? How many classes do you have?
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