creg is a fast tool for training linear and logistic regression models with
l_1 and l_2 regularization. Its data (feature and response) format is
compatible with ARKRegression.

EXAMPLES

Logistic regression example (training only):
  $ ./creg -x test_data/iris.trainfeat -y test_data/iris.trainresp --l1 1.0 > weights.txt

Logistic regression example (training and testing):
  $ ./creg -x test_data/iris.trainfeat -y test_data/iris.trainresp --l1 1.0 \
        -t test_data/iris.testfeat -s test_data/iris.testresp > weights.txt

Linear regression example (training and testing):
  $ ./creg -n -x test_data/auto-mpg.trainfeat -y test_data/auto-mpg.trainresp --l2 1000 \
        -t test_data/auto-mpg.testfeat -s test_data/auto-mpg.testresp > weights.txt