I created a simple model with one {0,1} dependent variable y (int) and many independent double variables, but when I run
gbm(formula = as.formula("y ~ ."), distribution = "adaboost", data = dt,
n.trees = 1000, interaction.depth = 1, shrinkage = 0.01, cv.folds = 0, keep.data = FALSE)
I get
Error in is.null(weights) || is.infinite(weights) :
'length = NNN' in coercion to 'logical(1)'
where NNN ~ 1500 is the number of observations. There are no NAs in the data, and both 0s and 1s are present in y.
So, I decided to check an older more complicated model, which worked flawlessly before, but after thinking for a while it gave me the same error with a different NNN ~ 30,000.
Any ideas what may cause this now? Thank you.
I created a simple model with one
{0,1}dependent variabley(int) and many independent double variables, but when I runI get
where
NNN ~ 1500is the number of observations. There are no NAs in the data, and both 0s and 1s are present iny.So, I decided to check an older more complicated model, which worked flawlessly before, but after thinking for a while it gave me the same error with a different
NNN ~ 30,000.Any ideas what may cause this now? Thank you.