This is a C++ implementation of AdaBoost.
- CMake (http://www.cmake.org/)-
cmake .
-
make
The format of training and test data file is the same as SVM-Light(http://svmlight.joachims.org/) and libsvm(http://www.csie.ntu.edu.tw/~cjlin/libsvm). That is:
<label> <feature>:<value> <feature>:<value> ... <feature>:<value>
.
.
.
<label> = {+1, -1}
<feature>: feature index (integer value starting from 1)
<value>: feature value (double)'
There are sample data sets at http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/.
>./abtrain [options] training_set_file [model_file] options: -t: type of boosting (0:discrete, 1:real, 2:gentle) [default:2] -r: the number of rounds [default:100] -v: verbose' >./abpredict [options] test_set_file model_file options: -o: output score file -v: verbose'
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