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Contents
#include "solver_type.h"
RUBY_EXTERN VALUE mLiblinear;
void rb_init_solver_type_module()
{
/**
* Document-module: Numo::Liblinear::SolverType
* The module consisting of constants for solver type that used for parameter of LIBLINER.
*/
VALUE mSolverType = rb_define_module_under(mLiblinear, "SolverType");
/* L2-regularized logistic regression (primal) */
rb_define_const(mSolverType, "L2R_LR", INT2NUM(L2R_LR));
/* L2-regularized L2-loss support vector classification (dual) */
rb_define_const(mSolverType, "L2R_L2LOSS_SVC_DUAL", INT2NUM(L2R_L2LOSS_SVC_DUAL));
/* L2-regularized L2-loss support vector classification (primal) */
rb_define_const(mSolverType, "L2R_L2LOSS_SVC", INT2NUM(L2R_L2LOSS_SVC));
/* L2-regularized L1-loss support vector classification (dual) */
rb_define_const(mSolverType, "L2R_L1LOSS_SVC_DUAL", INT2NUM(L2R_L1LOSS_SVC_DUAL));
/* support vector classification by Crammer and Singer */
rb_define_const(mSolverType, "MCSVM_CS", INT2NUM(MCSVM_CS));
/* L1-regularized L2-loss support vector classification */
rb_define_const(mSolverType, "L1R_L2LOSS_SVC", INT2NUM(L1R_L2LOSS_SVC));
/* L1-regularized logistic regression */
rb_define_const(mSolverType, "L1R_LR", INT2NUM(L1R_LR));
/* L2-regularized logistic regression (dual) */
rb_define_const(mSolverType, "L2R_LR_DUAL", INT2NUM(L2R_LR_DUAL));
/* L2-regularized L2-loss support vector regression (primal) */
rb_define_const(mSolverType, "L2R_L2LOSS_SVR", INT2NUM(L2R_L2LOSS_SVR));
/* L2-regularized L2-loss support vector regression (dual) */
rb_define_const(mSolverType, "L2R_L2LOSS_SVR_DUAL", INT2NUM(L2R_L2LOSS_SVR_DUAL));
/* L2-regularized L1-loss support vector regression (dual) */
rb_define_const(mSolverType, "L2R_L1LOSS_SVR_DUAL", INT2NUM(L2R_L1LOSS_SVR_DUAL));
/* one-class support vector machine (dual) */
rb_define_const(mSolverType, "ONECLASS_SVM", INT2NUM(ONECLASS_SVM));
}
Version data entries
6 entries across 6 versions & 1 rubygems