Description

NewMultiLinearSVC creates a new MultiLinearSVC using the OneVsAllModel. The loss and penalty arguments can be "l1" or "l2". Typical values are "l1" for the loss and "l2" for the penalty. The dual parameter controls whether the system solves the dual or primal SVM form, true should be used in most cases. C is the penalty term, normally 1.0. eps is the convergence term, typically 1e-4.

NewMultiLinearSVC is referenced in 1 repository

github.com/sjwhitworth/golearn