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SSLR (version 0.9.2)

Semi-Supervised Classification and Regression Methods

Description

Providing a collection of techniques for semi-supervised classification and regression. In semi-supervised problem, both labeled and unlabeled data are used to train a classifier. The package includes a collection of semi-supervised learning techniques: self-training, co-training, democratic, decision tree, random forest, 'S3VM' ... etc, with a fairly intuitive interface that is easy to use.

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Install

install.packages('SSLR')

Monthly Downloads

217

Version

0.9.2

License

GPL-3

Last Published

July 20th, 2020

Functions in SSLR (0.9.2)