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RankSVM Training, validating, & predicting
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Acknowledgement:
Logging is provided by easylogging++
up-to-date site: https://github.com/easylogging/easyloggingpp
Requirements:
CMAKE,
GCC(C++) or any c++11 compatible compiler,
boost libraries(program_options),
Eigen3.
How to build(Release):
1.copy the source files to an empty directory
2.mkdir Release
3.cd Release
# In the Release directory
4.cmake -DCMAKE_BUILD_TYPE=Release ..
# Change the Release to Debug for Debug build
5.make
How to build it under windows(un-tested)
1.Install & configure: Eigen3 & boost
2.use cmake or VS
What if I want to:
1.add a program option:
in train.cpp or split.cpp
add description to desc.add_options()
add control flow in main()
2.add a new training model:
create a new model .h file in ./model
add a .cpp
create a new class inherit from RSVM
provide member functions: string getName()
int train(RidList &D)
int predict(RidList &D,vector<double> &res)
add a new option when reading model file(RSVM::loadModel)
3.support new data format(dataProvider.h)?
currently only support .rid; almost impossible to change
4.support new data source?
checkout fileDataProvider.h
multiplex in main()
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