VWScalarsLearner vw = VWLearners.create("--oaa 3 --holdout_period 9 --passes 10 --cache_file vw.cache --loss_function=logistic --probabilities");

vw.learn("1 | c d e");
float[] pred = vw.predict("c d e");

vw.saveModel("model.vw");
vw.close();

# generate binaries
cd build-jni
./build_everything_on_macos.sh

# create jar
cd ..
mvn clean package

# build native lib
cd build-jni
./build.sh

# add as system lib
sudo cp transient/lib/vw_wrapper/vw_jni.lib /usr/lib/libvw_jni.so