tsvm | experiments testing transductive svm for my blog posts | Machine Learning library

tsvm is a Perl library typically used in Artificial Intelligence, Machine Learning applications. tsvm has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

The Goal of this project is to design and run data science experiments to test various transductive and semi-supervised learning algorithms. The TSVM theory is described on my blog The first objective is to test svmlin using the binary datasets provided for libsvm to determine how to tune svmlin well and what kind of data sets it performs well on. Later, we would like to look at Semi-Supervised learning algos such as. and the python scikit learn label propagation algo. For Newbies: If you don’t know anything about machine learning, you should first learn how to run liblinear on the libsvm data sets. To get started 0. requirements: ruby 2.x and gnu parallel ruby can be installed using rvm gnu parallel should be in the path.