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)