Computer Science and Engineering

Continuous Time Bayesian Network Reasoning and Learning Engine (CTBN-RLE)

v1.0.1: Install Instructions

How to compile:
===============

This code has been tested under Unix with the Gnu tools and Windows
with Visual C++.

UNIX:

The Makefile in src/ will make ctbn.a (a library of all of the object files).  
"make" in demo/ will make the demos (including making the objects in src/
if necessary), and "make" tst/ will make all of the unit/regression tests.
Running the python script tst/unit_test.py will run each of the test
scripts to confirm that the calculations are being performed correctly.

Windows:

Under Visual C++, you must create your own project.  Add all of the source
files in src/ and all of the header files in hdr/.  Adding one "main" file
(from tst/ or demo/) should allow the entire project to compile.  You may
have a number of compile warnings about conversions from "size_t" to "int."
These may be safely ignored.


Structure:
==========

The base directory is split into multiple directorys:

demo/  This contains example programs on how to use the libraries.  They
	are often useful on their own (e.g. sample from a CTBN, learn a CTBN
	from samples, etc).  The README.txt file also has information on 
	the file extensions used for data files.

doc/   This directory contains information on how to read the code and 
	use it, literature to read, and funding sources that made this code
	base possible.

src/   This directory contains all of the non-header files.

hdr/   This directory contains all of the header files.  This, plus the ctbn.a
	created in /src are all that is necessary to link a new program to
	the libraries here

tst/   This directory contains regression tests that are used to verify that
	the code is working