Bnp

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

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Install / Use

/learn @jstraub/Bnp

About this skill

Quality Score

0/100

README

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

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