libffm
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A Library for Field-aware Factorization Machines
Just like other popular ML packages that could perform early stopping with patience.
`g++ -Wall -O3 -std=c++0x -march=native -fopenmp -DUSESSE -DUSEOMP -c -o ffm.o ffm.cpp /tmp/cc2xJsit.s: Assembler messages: /tmp/cc2xJsit.s:3277: Error: no such instruction: `vinserti128 $0x1,%xmm0,%ymm1,%ymm0' /tmp/cc2xJsit.s:3286: Error: suffix or operands invalid for `vpaddd'...
Hi,what is the optimized method used in this model?
Are there any plans of incorporating bias and linear terms in this new re-factored version ? I know they're included in v114 on the website but if I'm not mistaken...
Hi @guestwalk ! Thanks a lot for the awesome library. It's certainly made my life a lot easier. Since we get a segfault for files that are too large, is...
Sorry for being ignorant, can I put `float` type value in the input data?
1. Release model(W) not in destructor method. 2. Not to use ffm_load_model, because this method return a object which is local variables, when it returned, it will call destructor(~ffm_model()), and...
Hello! I have very disbalanced dataset that has only 0.5% of clicks. So I have very poor results. Can I increase weights of the clicks to make them more important?...
I read the source code. i can not figure out why the model.w size is model.n * model.m * k_aligned * 2.
using the python wrapper (libffm-python) for some reason, when the input dataset becomes too large (too many "fields" ~ about 29 or more), the predictions (at least the first iterations,...