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xgboost x - segmentation fault #4
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It happened to me before, when data do not fit to RAM. Try to decrease dataset and check if you have the same error. |
I have 64gb of ram, additionally I've set 256gb swapfile, but problem still occurs. |
This line doesn't matter. |
Did you try to reduce dataset (take first 10000 lines only, for example)? My guess is that if it is not the memory problem, then xgboost stalls because of some problem with data. |
I've shrinked both: test.csv (first 10k rows) and train.csv(random 10k rows - to have all labels) and there is no segmentation fault or stalling. |
I work on Mac with 32 Gb RAM. Try to increase dataset gradually. I suppose the problem with some line in the dataset, probably, some entries are not appropriate for xgboost (it could be the problem with NA values for example). |
I've tried a few combinations, but this time except segmentation fault in logs, I got more meaningful message in RStudio: train - all, test - 10k first train - all random, test - all random train - 60k random, test - 60k random train - 30k random, test - 10k first |
Segmentation fault (core dumped) occurs randomly when I run xgboost x model through R (02-models.build.R)...
I need to double-check it, but as far I remember there was no such problem with model.xgbx.x.stack.py (run in spider) with hard-coded options.
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