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authorChris Dyer <cdyer@cs.cmu.edu>2012-05-13 22:20:06 -0700
committerChris Dyer <cdyer@cs.cmu.edu>2012-05-13 22:20:06 -0700
commit5853cf45e028a24387a5649642bcbfe2ed376293 (patch)
treeeee3da72bd63ac46bfdd777073f0810bd20b1801 /creg/README
parenta937d645257f0949e138f3548fd0a2b65ea8aa11 (diff)
eval stuff for creg, test data from ark regression
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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.
+l_1 and l_2 regularization. Its data (feature and response) format is
+compatible with ARKRegression.
-Example invokation:
-$ ./creg -x test_data/iris.trainfeat -y test_data/iris.trainresp --l2 100
+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