{"repository":{"forks":3,"owner":"RobertOrmandi","has_downloads":true,"master_branch":"release","open_issues":0,"homepage":"","has_wiki":true,"watchers":9,"created_at":"2011-07-25T05:34:35-07:00","fork":false,"size":232,"description":"This open source benchmarking framework allows you to build your own P2P learning algorithm and evaluate it in a simulated but realistic -- where you can model message delay, drop or churn -- networked environment. Moreover it contains the prototype implementations of some well-known machine learning algorithms like SVM and Logistic Regression.","stargazers":9,"private":false,"language":"Java","has_issues":true,"pushed_at":"2013-02-04T05:26:18-08:00"},"actor_attributes":{"name":"István Hegedűs","type":"User","location":"Szeged","blog":"www.inf.u-szeged.hu/~ihegedus","company":"University of Szeged","email":"da39a3ee5e6b4b0d3255bfef95601890afd80709"},"url":"https://github.com/RobertOrmandi/Gossip-Learning-Framework/compare/a270f17090...3817fdf6f8"}