Ubuntu上运行ProbLog程序的基本方法

这篇博客很简单，接上一篇：在Ubuntu上安装并运行DeepProbLog的简单过程_蛐蛐蛐的博客-CSDN博客

其实要运行ProbLog代码是相当简单的，如上一篇博客中所说的，首先安装engine：

pip install problog

可以参考其GitHub repo：https://github.com/ML-KULeuven/problog 或者主页：Introduction. — ProbLog: Probabilistic Programming

安装好之后，例如我们想运行这里的例子：

https://github.com/ML-KULeuven/problog/tree/master/test

例如上一篇博客中提到的论文中的“alarm Bayesian network”，具体代码是这样：https://github.com/ML-KULeuven/problog/blob/master/test/4_1_bayesian_net.pl

%System test 4 - a Bayesian network.
%Description: The burglary-alarm-earthquake BN without any people. The alarm goes off in three different cases.
%Query: what is the probability of burglary and what is probability of an earthquake
%Evidence: we know that the alarm has gone off.
%Expected outcome: 
% burglary 0.9896551724137932
% earthquake 0.2275862068965517
0.7::burglary.
0.2::earthquake.
 
0.9::alarm <- burglary, earthquake.
0.8::alarm <- burglary, \+earthquake.
0.1::alarm <- \+burglary, earthquake.
 
 
%%% Evidence
evidence(alarm,true).
%%% Queries
query(burglary).
query(earthquake).

 那么只需要运行：

problog 4_1_bayesian_net.pl

就可以看到结果了。就先简单总结这么多。