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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
Ordinal regression example
$ ./creg -o -x test_data/shuttle.trainfeat -y test_data/shuttle.trainresp
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