xgboost x - segmentation fault about otto_2015

[diefimov]

It happened to me before, when data do not fit to RAM. Try to decrease dataset and check if you have the same error.

[mglowacki100]

I have 64gb of ram, additionally I've set 256gb swapfile, but problem still occurs.
Now, I suspect this line: sys.path.append('/Users/ef/xgboost/wrapper'). I didn't update it.

[mglowacki100]

This line doesn't matter.
I've tried to run directly in spider with hardcoded params - now, script stalls instead of segmentation fault. Still all cores used but usage in total is about 20%...
This is a similar issue:
dmlc/xgboost#209

[diefimov]

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.

[mglowacki100]

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.
Btw. how much RAM do you used for full dataset?

[diefimov]

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).

[mglowacki100]

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
combine.preds("train_raw/model.xgbx", 10)
Reading epoch 0 ...
Reading epoch 1 ...
Reading epoch 2 ...
Reading epoch 3 ...
Reading epoch 4 ...
Reading epoch 5 ...
Reading epoch 6 ...
Reading epoch 7 ...
Reading epoch 8 ...
Reading epoch 9 ...
Error in rowSums(actual * predicted) :
error in evaluating the argument 'x' in selecting a method for function 'rowSums': Error in actual * predicted : non-conformable arrays

train - all random, test - all random
...
Error in rowSums(actual * predicted) :
error in evaluating the argument 'x' in selecting a method for function 'rowSums': Error in actual * predicted : non-conformable arrays

train - 60k random, test - 60k random
...
Error in rowSums(actual * predicted) :
error in evaluating the argument 'x' in selecting a method for function 'rowSums': Error in actual * predicted : non-conformable arrays

train - 30k random, test - 10k first
Error in cbind(data.pred, as.matrix(data.pred.epoch)) :
number of rows of matrices must match (see arg 2)