SemiSupervised (1.0)

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Safe Semi-Supervised Learning Tools.

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 over 1 year ago.



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