Last data update: 2014.03.03

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svm.predict (Package: svmadmm) : The predict function for svm.admm

svm.predict The function applies a model produced by the svm.admm function to every row of a data matrix and returns the model predictions.
● Data Source: CranContrib
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● Alias: svm.predict
● 0 images

svm.admm (Package: svmadmm) : linear/nonlinear svm solver based ADMM and IADMM algorithms

svm.admm is a simple function for solving large-scale regularized linear/nonlinear classification by using ADMM and IADMM algorithms. This function provides linear L2-regularized primal classification (both ADMM and IADMM are available), kernel L2-regularized dual classification (IADMM) as well as L1-regularized primal classification (both ADMM and IADMM are available). The training of the models perform well practice.
● Data Source: CranContrib
● Keywords:
● Alias: svm.admm
● 0 images