Last Updated on: 13th June 2024, 08:17 pm
Field-aware Factorization Machines on CUDA.
Today we’re open-sourcing CUDA FFM – our tool for very fast FFM training and inference.
You can expect 50-70x speed up in training (comparing to the CPU implementation) and 5-10x speed up in inference (compaing to non-AVX-optimized implementation).
What’s inside?
- very fast FFM trainer that trains FFM model using GPU
- very fast FFM prediction C++ library (using CPU)
- Java bindings to that library (via JNI)
- few dataset management utils (splitting, shuffling, conversion)
Field-aware Factorization Machines (FFM) is a machine learning model described by the following equation:
Checkout out the original paper for the details or our README for a quick summary.
