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author | Chris Dyer <cdyer@cab.ark.cs.cmu.edu> | 2012-05-26 14:55:38 -0400 |
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committer | Chris Dyer <cdyer@cab.ark.cs.cmu.edu> | 2012-05-26 14:55:38 -0400 |
commit | bf0278b9492d678d8d7f601ea1513b896f2ad105 (patch) | |
tree | 7fea052c2419f03c17c26833c4bfa964a408ce77 /creg/README | |
parent | 3d30173d091900794d53f8ea61eb277038ba6a01 (diff) |
remove creg
Diffstat (limited to 'creg/README')
-rw-r--r-- | creg/README | 20 |
1 files changed, 0 insertions, 20 deletions
diff --git a/creg/README b/creg/README deleted file mode 100644 index 208cabf5..00000000 --- a/creg/README +++ /dev/null @@ -1,20 +0,0 @@ -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 - |