Closed feynman233 closed 5 years ago
Hi, @feynman233,
We have tested our newest code on some large datasets and it works fine.
Did you use the newest library?
If not and you are using pip install
, you can update your package with pip install thundersvm==0.3.2
for Linux with Cuda 9.0, the newest version, or you can build it from the source.
If yes, please provide more details and a dataset for us to reproduce the problem.
Thanks
@jiahuanluo Thanks! By the way, where can I find the newest release version of thundersvm from pip install
, because there are no update histories on the github page.
We will put it on our github page and you can find it here next.
@jiahuanluo thanks very much!
Hi, when I use the linear kernel for a large dataset in pycharm,the code ends at "Process finished with exit code 139 (interrupted by signal 11: SIGSEGV)", but rbf kernel is just Ok, how can I fix this? thanks very much ! My gpu is titanxp and the cuda version is 9.0