Bayesian Logic (BLOG) is a probabilistic modeling language. It is designed for representing relations and uncertainties among real-world objects. For instance, tracking multiple targets in a video. BLOG makes it easy and concise to represent:
sbt/sbt compile
sbt/sbt stage
sbt\sbt compile
sbt\sbt stage
blog
main execution file to run the enginedblog
main execution file to run the engine with particle filter (alternative can use blog)parse.sh
to check the syntax of a blog file (very useful for debugging)docs/content/pages/release-note.md
contains all release information and major changestools/blog-for-sublime
tools/blog.el
tools/blog.vim
blog_py_lexer
, requires a python library pygments
, and a latex package minted
sbt/sbt eclipse
sbt/sbt universal:package-bin
All files for web engine are under web. It requires python-webpy
package. See web/README.md
.
To run the engine, please follow the instructions in web/README.md
.
Readme Updated: July 2, 2014