{"repository":{"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.","homepage":"","watchers":9,"stargazers":9,"forks":3,"fork":false,"size":268,"owner":"RobertOrmandi","private":false,"open_issues":0,"has_issues":true,"has_downloads":true,"has_wiki":true,"language":"Java","created_at":"2011-07-25T05:34:35-07:00","pushed_at":"2013-04-23T08:27:27-07:00","master_branch":"release"},"actor_attributes":{"type":"User","name":"István Hegedűs","company":"University of Szeged","blog":"www.inf.u-szeged.hu/~ihegedus","location":"Szeged","email":"da39a3ee5e6b4b0d3255bfef95601890afd80709"},"url":"https://github.com/RobertOrmandi/Gossip-Learning-Framework/compare/a57f34db49...6f365374a7"}