Multiple Kernel Learning for regression.
Performs support vector regression while learning kernel weights at the same time. Makes only sense if multiple kernels are used.
- See also:
Definition at line 25 of file MKLRegression.h.
List of all members.
Constructor & Destructor Documentation
|s ||SVM to use as constraint generator in MKL SILP |
Definition at line 9 of file MKLRegression.cpp.
Member Function Documentation
compute mkl dual objective
- computed dual objective
Reimplemented from CMKL.
Definition at line 39 of file MKLRegression.cpp.
compute beta independent term from objective, e.g., in 2-class MKL sum_i alpha_i etc
Definition at line 26 of file MKLRegression.cpp.
get classifier type
- classifier type MKL_REGRESSION
Reimplemented from CMachine.
Definition at line 53 of file MKLRegression.h.
check run before starting training (to e.g. check if labeling is two-class labeling in classification case
Definition at line 45 of file MKLRegression.cpp.
The documentation for this class was generated from the following files: