SSOSVM: SSOSVM: A package for online training of soft-margin support...
In SSOSVM: Stream Suitable Online Support Vector Machines
Description
Author(s)
References
Description
The SSOSVM package allows for the online training of Soft-margin support vector machines (SVMs) using the Stochastic majorization–minimization (SMM) algorithm.
SquareHinge,Hinge and Logistic
The function generateSim can also be used to generate simple test sets.
Author(s)
Andrew T. Jones, Hien D. Nguyen, Geoffrey J. McLachlan
References
Hien D. Nguyen, Andrew T. Jones and Geoffrey J. McLachlan. (2018). Stream-suitable optimization algorithms for some soft-margin support vector machine variants, Japanese Journal of Statistics and Data Science, vol. 1, Issue 1, pp. 81-108.
SSOSVM documentation built on May 6, 2019, 5:01 p.m.
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Description Author(s) References
Description
The SSOSVM package allows for the online training of Soft-margin support vector machines (SVMs) using the Stochastic majorization–minimization (SMM) algorithm.
SquareHinge,Hinge and Logistic
The function generateSim can also be used to generate simple test sets.
Author(s)
Andrew T. Jones, Hien D. Nguyen, Geoffrey J. McLachlan
References
Hien D. Nguyen, Andrew T. Jones and Geoffrey J. McLachlan. (2018). Stream-suitable optimization algorithms for some soft-margin support vector machine variants, Japanese Journal of Statistics and Data Science, vol. 1, Issue 1, pp. 81-108.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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