学习一个图形化的模型（贝叶斯网络或可能性网络）从数据集的样本情况下，从一个贝叶斯网络来生成一个随机的数据集，评估学习网络WRT的程序一组测试数据和参考网络，以及测量条件的依赖性的优势。-Programs to learn a graphical model (Bayesian network or possibilistic network) from a dataset of sample cases, to generate a random dataset from a Bayesian network, to evaluate learned networks w.r.t. a test dataset and a reference network, and to measure the strengths of conditional dependences.