SemiSupervised: 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.

Package details

AuthorMark Vere Culp
MaintainerMark Vere Culp <[email protected]>
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the SemiSupervised package in your browser

Any scripts or data that you put into this service are public.

SemiSupervised documentation built on May 11, 2018, 5:03 p.m.