RelevanceVectorMachine.jl
An implementation of a relevance vector machine, a sparse Bayesian version of a SVM
MIT License
Stars
2
Ecosystems:
The Julia Language
RelevanceVectorMachine.jl
A relevance vector machine implementation written in Julia.
Installation
Use Julia's Pkg module to install it:
import Pkg; Pkg.add("RelevanceVectorMachine.jl")
Quick Start
import RelevanceVectorMachine
using RDatasets
using StatsModels
boston_data = RDatasets.dataset("MASS", "Boston")
rvm = RelevanceVectorMachine.rvm(@formula(MedV ~ Rm), boston_data)
# Predict on new data
preds = RelevanceVectorMachine.predict(rvm, new_boston_data)
See the examples folder for more.
Contributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
Please make sure to update tests as appropriate.