GLM/GLMNET Multinomial/Binomial error Professor,
When I run my NYSE data through Option 2 of Logistic Regression: Regularized LR, I receive an error stating...
#Error in lognet(x, is.sparse, ix, jx, y, weights, offset, alpha, nobs, :
#one multinomial or binomial class has 1 or 0 observations; not allowed
I understand that I am getting the error because the NYSE data has columns of just 0 or 1 (Volume and DV).
How are we supposed to run the GLMNET on data that we know has 0s and 1s that are important to the final outcome?
yTEST, yTRAIN, yTRAINbig, yVAL are all large factors
the piece of code I am running is: LR.2 <- glmnet(x=data.matrix(BasetableTRAIN),y=yTRAIN,family='binomial')
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