Module: Numo::Liblinear::SolverType
- Defined in:
- ext/numo/liblinear/liblinearext.cpp,
ext/numo/liblinear/liblinearext.cpp
Overview
The module consisting of constants for solver type that used for parameter of LIBLINER.
Constant Summary collapse
- L2R_LR =
L2-regularized logistic regression (primal)
INT2NUM(L2R_LR)
- L2R_L2LOSS_SVC_DUAL =
L2-regularized L2-loss support vector classification (dual)
INT2NUM(L2R_L2LOSS_SVC_DUAL)
- L2R_L2LOSS_SVC =
L2-regularized L2-loss support vector classification (primal)
INT2NUM(L2R_L2LOSS_SVC)
- L2R_L1LOSS_SVC_DUAL =
L2-regularized L1-loss support vector classification (dual)
INT2NUM(L2R_L1LOSS_SVC_DUAL)
- MCSVM_CS =
support vector classification by Crammer and Singer
INT2NUM(MCSVM_CS)
- L1R_L2LOSS_SVC =
L1-regularized L2-loss support vector classification
INT2NUM(L1R_L2LOSS_SVC)
- L1R_LR =
L1-regularized logistic regression
INT2NUM(L1R_LR)
- L2R_LR_DUAL =
L2-regularized logistic regression (dual)
INT2NUM(L2R_LR_DUAL)
- L2R_L2LOSS_SVR =
L2-regularized L2-loss support vector regression (primal)
INT2NUM(L2R_L2LOSS_SVR)
- L2R_L2LOSS_SVR_DUAL =
L2-regularized L2-loss support vector regression (dual)
INT2NUM(L2R_L2LOSS_SVR_DUAL)
- L2R_L1LOSS_SVR_DUAL =
L2-regularized L1-loss support vector regression (dual)
INT2NUM(L2R_L1LOSS_SVR_DUAL)
- ONECLASS_SVM =
one-class support vector machine (dual)
INT2NUM(ONECLASS_SVM)