FlatCTR

FlatCTR is a high-performance toolkit to train Logistic Regression(LR) or Factorization Machines(FM) on large-scale sparse dataset.

Building

git clone --recursive https://github.com/maxuewei2/FlatCTR.git
cd FlatCTR
mkdir build && cd build
cmake ..
make

Usage

1. Run ./flatctr -h to display a list of all supported options.
2. Run ./flatctr to train on the sample dataset.
3. For online training, use the -i option to load a trained model: ./flatctr -i ../output/model.txt

Data Format

The input data should be in the libsvm format.