Closed tobigithub closed 9 years ago
Hi,
thanks for pointing that out. I think the error comes from the function "getTestData" in https://github.com/glibiseller/IPO/blob/master/R/utils.R. This testdata is used to predict the best possible parameters of a response surface model. For every parameter one dimension is needed therefore this object can get quiet big.
Creating multiple smaller junks of testdata one after another could be solution to the memory problem.
I'll try that for the next update.
Cheers Gunnar
Hi,
I replaced the function getTestData with expand.grid.subset in utils.R. This function does not return all test-cases needed but only a subset with maximal 1,000,000 test-cases. I hope this prevents 32-bit systems to run out of memory.
Cheers, Gunnar
Hi, using the examples from the readme and retention correlation https://github.com/glibiseller/IPO/blob/master/vignette/IPO.Rmd
fails in R (32 bit) with "Error: cannot allocate vector of size 654.3 Mb"
That is of course not satisfying after waiting 2.2 h to finish. Simple solution is to run IPO always in R (64 bit).
see https://stat.ethz.ch/R-manual/R-devel/library/base/html/Memory-limits.html
Cheers Tobias