ModelOriented / EMMA

Evaluation of Methods for dealing with Missing data in Machine Learning algorithms
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[test no. 2] VIM_IRMI (PipeImpute) #87

Closed okcze closed 4 years ago

okcze commented 4 years ago

Only two errors (internal as I remember well) occurred a few times. On tasks: 3722, 29, 14954, 48:

Error in 1L:ncol(Y) : argument ma długość 0

and

INFO [18:15:01.269] Applying learner 'imput_VIM_IRMI.encodeimpact.classif.glmnet' on task 'Task 3561: profb (Supervised Classification)' (iter 1/5) [1] "IRMI dont work on selcted params runing on defoult" Error in VIM::irmi(df, imp_var = F) : factor with less than 2 levels detected! - Overtime

jjanborowka commented 4 years ago

Constant factors.