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SVMMaj (version 0.2-2)

SVMMaj algorithm

Description

Implements the SVM-Maj algorithm to train data with Support Vector Machine, this algorithm uses two efficient updates, one for linear kernel and one for the nonlinear kernel.

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Version

Install

install.packages('SVMMaj')

Monthly Downloads

159

Version

0.2-2

License

GPL-2

Maintainer

Hok San Yip

Last Published

January 13th, 2011

Functions in SVMMaj (0.2-2)

isb

I-spline basis of each column of a given matrix
normalize

Normalize/standardize the colums of a matrix
hinge

Hinge error function of SVM-Maj
svmmaj

SVM-Maj Algorithm
svmmajcrossval

k-fold Cross-Validation of SVM-Maj
voting

Congressional Voting Records Data Set
AusCredit

Australian Credit Approval Dataset
predict.svmmaj

Out-of-Sample Prediction from Unseen Data.
diabetes

Pima Indians Diabetes Data Set