Cache size > 2000 not recognised about libsvm HOT 7 OPEN

The data type for number-of-bytes variables should be size_t.

Quote www.cplusplus.com/reference/cstddef/size_t/

It is a type able to represent the size of any object in bytes: size_t is the type returned by the sizeof operator and is widely used in the standard library to represent sizes and counts.

For further references:
http://www.embedded.com/electronics-blogs/programming-pointers/4026076/Why-size-t-matters
http://en.cppreference.com/w/cpp/types/size_t

from libsvm.

Btw, this is compiler specific. It overflows when long int is 32 bit and works if its 64 bit.

from libsvm.

Hi sorry I am confused, this is not working for me on MacBook Pro M2 with python 3.11.8. Nomatter what cache I try the time it takes to train SVM is the same. How can cache_size actually work please? I tried changing it locally in _classes.py of the SVM library but it still doesn't help. I tried with cache 500 and also with less than 2000 and still no change.

from libsvm.

Ive also tried using these two compilers in my Spyder instead: env['CC'] = '/usr/local/bin/gcc-12'
env['CXX'] = '/usr/local/bin/g++-12' and it didn't make any improvement on the speed using cache of 5000.

from libsvm.

from libsvm.

It would take me a while to write up the code such that it can be a simple one. Are you saying you are not aware of the problem? This has been an ongoing problem for a year at least. I am on MacBook Pro M2 chip python 3.11.8 with 96 GB of ram. So setting cache_size to 5000 should work well. Is there any specific information you need form me please, as I am sure this can be easily reproduced with any example. The cache_size simply doesn't do anything for me.

from libsvm.

from libsvm.