Error in self$assert(xs) when running train.model()

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)

starting train.model

training lasso models on 200 training sets

Performing feature selection with following parameters: no_features = 600 method = Wilcoxon direction = absolute +++ training on cv fold: 1 ++++ repetition: 1 ++ retaining 600 features after selection based on Wilcoxon; target number of features 600 ...... ++++ repetition: 65 ++ retaining 600 features after selection based on Wilcoxon; target number of features 600 Error in self$assert(xs) : Assertion on 'xs' failed: s: May not be NA. In addition: There were 50 or more warnings (use warnings() to see the first 50)

I did not find similar situation through google, could you please give me some help?

Sincere thanks

zellerlab / siamcat

Error in self$assert(xs) when running train.model() #39