SemiSupervised (1.0)

0 users

Safe Semi-Supervised Learning Tools.

http://cran.r-project.org/web/packages/SemiSupervised

Implements several safe graph-based semi-supervised learning algorithms. The first algorithm is the Semi-Supervised Semi-Parametric Model (S4PM) and the fast Anchor Graph version of this approach. For additional technical details, refer to Culp and Ryan (2013) , Ryan and Culp (2015) and the package vignette. The underlying fitting routines are executed in C++. All tuning parameter estimation is optimized using K-fold Cross-Validation.

Maintainer: Mark Vere Culp
Author(s): Mark Vere Culp

License: GPL-2

Uses: caret, e1071, kernlab, mlbench, randomForest, glmnet, spa

Released 10 months ago.


Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

No one has written a review of SemiSupervised yet. Want to be the first? Write one now.


Related packages:(20 best matches, based on common tags.)


Search for SemiSupervised on google, google scholar, r-help, r-devel.

Visit SemiSupervised on R Graphical Manual.