Re: [R] Problem in SVM model generation

2015-10-16 Thread David Winsemius
On Oct 15, 2015, at 4:51 AM, Bhawana Sahu wrote: > I am using R in my project for analysis of data, and I have generated SVM > model using kernlab package with the dataset (3000 rows and 281 columns). > Now I want to generate this model for dataset containing 8000 rows and 281 > column, but here

Re: [R] Problem in SVM model generation

2015-10-16 Thread Giorgio Garziano
>From R prompt, input: memory.limit() which returns the amount of memory available to R. Then, before allocating that vector, run: library(pryr) mem_used() To see current memory in use. Should be: memory.limit() - mem_used() >= 2.4GBytes -- GG [[alternative HTML version deleted]]

[R] Problem in SVM model generation

2015-10-15 Thread Bhawana Sahu
I am using R in my project for analysis of data, and I have generated SVM model using kernlab package with the dataset (3000 rows and 281 columns). Now I want to generate this model for dataset containing 8000 rows and 281 column, but here I am getting an error saying that "cannot allocate vector