lmxiaonuo

hello, I have used your ffm to train some model in big data, but the tr_loss turns out to be NaN when the data size is larger than 1000000, please...

cmake .. -DSCIP_DIR=/Users/muzhe/Downloads/scipoptsuite-5.0.0/build ``` -- The C compiler identification is AppleClang 8.1.0.8020042 -- The CXX compiler identification is AppleClang 8.1.0.8020042 -- Check for working C compiler: /Library/Developer/CommandLineTools/usr/bin/cc -- Check for...

Configured with: --prefix=/Library/Developer/CommandLineTools/usr --with-gxx-include-dir=/usr/include/c++/4.2.1 Apple LLVM version 8.1.0 (clang-802.0.42) Target: x86_64-apple-darwin16.5.0 Thread model: posix InstalledDir: /Library/Developer/CommandLineTools/usr/bin Configured with: --prefix=/Library/Developer/CommandLineTools/usr --with-gxx-include-dir=/usr/include/c++/4.2.1 Apple LLVM version 8.1.0 (clang-802.0.42) Target: x86_64-apple-darwin16.5.0 Thread model: posix...

the information you need is shown above, thanks a lot

BTW i can use pyscipopt

another problem, how can I get dual solution from JSCIPOpt