[test no. 2] missMDA_MCA_PCA_FMAD (PipeOpTaskPreproc)

ModelOriented / EMMA

Evaluation of Methods for dealing with Missing data in Machine Learning algorithms

23 stars 7 forks source link

[test no. 2] missMDA_MCA_PCA_FMAD (PipeOpTaskPreproc) #79

Open okcze opened 4 years ago

okcze commented 4 years ago

test R script: script
log: missMDA_MCA_PCA_FMAD log
successful usage: 2/10 tasks

INFO [22:32:23.834] Applying learner 'imput_missMDA_MCA_PCA_FMAD.encodeimpact.classif.glmnet' on task 'Task 3722: hungarian (Supervised Classification)' (iter 1/5) [1] "Fail to estimate ncp" Error in eigen(crossprod(X, X), symmetric = TRUE) : wartość nieskończona lub brakuje wartości w 'x'

okcze commented 4 years ago

INFO [11:43:36.912] Applying learner 'imput_missMDA_MCA_PCA_FMAD.encodeimpact.classif.glmnet' on task 'Task 14954: cylinder-bands (Supervised Classification)' (iter 1/5) [1] "Fail to estimate ncp" Error in eigen(crossprod(X, X), symmetric = TRUE) : wartość nieskończona lub brakuje wartości w 'x'

okcze commented 4 years ago

Task 3675: pbc

[1] "Fail to estimate ncp" Error in eigen(crossprod(X, X), symmetric = TRUE) : wartość nieskończona lub brakuje wartości w 'x'

jjanborowka commented 4 years ago

Constant columns in 3722 and 14954. Can't reproduce 3675.