Closed DrYoungOG closed 1 year ago
Hi @DrYoungOG Thanks for submitting the issue. Sorry, I was travelling at a conference and only now managed to look at it...
hmmm, I haven't encountered this error before. My guess is that it comes from the underlying mlr
package. Could you attach the output of the sessionInfo()
command?
Are there any NAs
in your data?
Cheers, Jakob
Hello! Thanks for the excellent package!
An error occured when running train.model() with a feature abundance table of microbiome function(7000+features and 42 samples in two groups):
log.std.lasso <- normalize.features(sc.obj_filtered, norm.method="log.std", norm.param=list(log.n0 = 1e-16, sd.min.q=0.05), verbose=3) log.std.lasso <- create.data.split(log.std.lasso, num.folds = 2, num.resample = 100, stratify = TRUE, verbose = 3) log.std.lasso <- train.model(log.std.lasso, method = "lasso", min.nonzero = 3, perform.fs=TRUE, param.fs=list(no_features=600, method="Wilcoxon", direction="absolute"), feature.type="normalized", verbose=3)
I did not find similar situation through google, could you please give me some help?
Sincere thanks