Using neonrvm

Congratulations, you survived the build process! Following are general tips and steps in order to train your model and perform predictions using neonrvm.

At this point it's a good idea to grab the original RVM paper and other related papers to get a feeling of inner workings of the RVM technique and different parameters. Please have a look at example.c and example.py for working sample codes.

In order to keep repetitions in this document lower, Python bindings are briefly documented. Errors reported by the library, will be raised as exceptions in Python.

Sparse Bayesian Models (and the RVM)