BIAS: Bayesian Inference At Scale in Julia¶
Version: | 0.1.1 |
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Requires: | julia releases 0.4.0 or later |
Date: | April 05, 2016 |
Author: | Adham Beyki (abeyki@deakin.edu.au) |
Web site: | http://github.com/adham/BIAS.jl |
License: | MIT |
Purpose¶
BIAS is an open source implementation of several Bayesian parametric and non-parametric hierarchical mixture models in julia. The implemented models include:
- Bayesian Mixture Model (BMM)
- Latent Dirichlet Allocation (LDA)
- Dirichlet Process Mixture Model (DPM)
- Hierarchical Dielectric Mixture Model (HDP)
- dynamic Hierarchical Dirichelt Mixture Model (dHDP)
- Recurrent Chinese Restaurant Process (RCRP) also known as Temporal Dirichelt Process Mixture model (TDPM)
Getting Started¶
The following julia command will install the package:
julia> Pkg.clone("git://github.com/adham/BIAS.jl.git")