GitHub - jstraub/bnp: C++ code and Python wrappers for Inference on Bayesian Non-Parametric Models

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C++ code and Python wrappers for Inference on Bayesian Non-Parametric Models

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Name		Name	Last commit message	Last commit date
Latest commit History 145 Commits
data		data
include		include
matlab		matlab
python		python
src		src
.gitignore		.gitignore
CMakeLists.txt		CMakeLists.txt
LICENSE.txt		LICENSE.txt
README		README
work.vim		work.vim

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This repository contains
- C++ code for Inference in a Hierarchical Dirichlet Process Model
- Python code in python/ folder (need to do $ make install before python scripts are usable)
- Code for testing some of the functions

Requirements:
- Boost.Random (tested with version 1.46) http://www.boost.org/doc/libs/1_52_0/doc/html/boost_random.html
- Armadillo (tested with version 3.4.4) http://arma.sourceforge.net/

Install:
- edit the CMakeLists.txt to point cmake to the boost and armadillo libraries.
- mkdir build; cd build
- cmake ..; make install