The Altair Community is migrating to a new platform to provide a better experience for you. The RapidMiner Community will merge with the Altair Community at the same time. In preparation for the migration, both communities are on read-only mode from July 15th - July 24th, 2024. Technical support via cases will continue to work as is. For any urgent requests from Students/Faculty members, please submit the form linked here.
Options

Can anyone suggest any document for understanding the "Fast Large Margin" operator?

515bm1003515bm1003 Member Posts: 3 Contributor I
edited January 2020 in Help
The rapidminer operator manual provides only the following description for the "Fast Large Margin" operator. However, we could not find any description of this scheme in R.E. Fan et al. (2008). Please advise any document or article for its better understanding.

The Fast Large Margin operator applies a fast margin learner based on the linear support vector learning scheme proposed by R.E. Fan, K.W. Chang, C.J. Hsieh, X.R. Wang, and C.J. Lin. Although the result is similar to those delivered by classical SVM or logistic regression implementations this linear classifier is able to work on data set with millions of examples and attributes.

Thanking you in advance.

Suraj Kumar Nayak

Answers

Sign In or Register to comment.