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ModelOriented / EMMA

Evaluation of Methods for dealing with Missing data in Machine Learning algorithms
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[test no. 2] VIM_IRMI (PipeImpute) #88

Closed okcze closed 4 years ago

okcze commented 4 years ago

INFO [15:05:10.585] Applying learner 'imput_VIM_IRMI.encodeimpact.classif.glmnet' on task 'Task 3847: analcatdata_draft (Supervised Classification)' (iter 1/5) No missings in x. Nothing to impute Ostrzeżenie w poleceniu 'kNN(x, imp_var = FALSE, mixed = mixed, mixed.constant = mixed.constant)': Nothing to impute, because no NA are present (also after using makeNA) Error : Processed output task during prediction of imput_VIM_IRMI does not match output task during training.

okcze commented 4 years ago

My mistake, the error is fixed.