GitHub PushEvent at 2014-05-20 21:24:13
Repository: figaro
Actor: AliOC
Payload: {"shas":[["fbeebc642c4fb05ae32c146fa92dd058c1bb5367","d6035818b277d6045e52b89551f0dbf609c20982@cra.com","Merge pull request #1 from p2t2/DEV2.2\n\nDev2.2","apfeffer",true],["4a140e4779c40613fdcd2805bfb1b8bcf90ea2f2","ccab14e104a21b1b03ab43171bcee1c07af6459f@cra.com","Correct FactorTest\n deduplication test needed to check for order","Glenn Takata",true],["7c405501c781d020cc465f4c524b82c51ac6650b","ccab14e104a21b1b03ab43171bcee1c07af6459f@cra.com","Change to matchers due deprecation warning","Glenn Takata",true],["4f3dea3f4c0a870118bc7b06e222304b285c9b54","399c8f319c7fa7c75446b68b432fa59b1da4a611@cra.com","Merge pull request #151 from gtakata/DEV2.2\n\nCorrect FactorTest","Michael Reposa",true],["149d4718f798f8605a6a169be714a4eb4d4ca1ff","3f534a23554162e2343f18e043306442be14c104@cra.com","#147\n\nUse logarithms to compute probability of evidence","mhoward2718",true],["e872fa15ab4f80155c344af40b0591058542a5a7","3f534a23554162e2343f18e043306442be14c104@cra.com","#131\n\nUse approximate method to compute binomial density for large number of\ntrials","mhoward2718",true],["9e93d260ba4c88df9d63bd9c987ad5741b8d26e1","3f534a23554162e2343f18e043306442be14c104@cra.com","Revert \"#131\"\n\nThis reverts commit e872fa15ab4f80155c344af40b0591058542a5a7.","mhoward2718",true],["4d6dd315c4c3f275fb7d84c2180bc467843c42fe","399c8f319c7fa7c75446b68b432fa59b1da4a611@cra.com","Merge pull request #161 from mhoward2718/DEV2.2\n\n#147","Michael Reposa",true],["f5fe87fe8d3e43bcb64453281e2ef2d54cadea7d","3f534a23554162e2343f18e043306442be14c104@cra.com","#131\n\nUse approximate density method for large number of binomial trials","mhoward2718",true],["48d8a655db9c1f1c469985d832f7baf22f5714f9","399c8f319c7fa7c75446b68b432fa59b1da4a611@cra.com","Merge pull request #163 from AliOC/DEV2.2\n\nDev2.2","Michael Reposa",true],["80faf0a01c1a88e83fc8030845c037af75f22cad","399c8f319c7fa7c75446b68b432fa59b1da4a611@cra.com","Merge pull request #162 from mhoward2718/DEV2.2\n\n#131","Michael Reposa",true],["4eceb4d7ca3e7310eb2d874b32f2abe6e74c35b3","3f534a23554162e2343f18e043306442be14c104@cra.com","#132\n\nUse approximate method to compute density for large parameter values","mhoward2718",true],["edf9e80ff652fd63d966fb2a8520ac0841d76ce6","bdca38fddb91f3b5b1ee636df19d93a4decd7cdf@cra.com","Exposed the getElementByReference function in ElementCollection. This is\na temporary fix for issue #154 that should not be a permanent solution\nbut helps right now","bruttenberg",true],["3deccd293f32a6b8820f59144ab87b7248d56f3d","399c8f319c7fa7c75446b68b432fa59b1da4a611@cra.com","Merge pull request #165 from bruttenberg/DEV2.2\n\nExposed the getElementByReference function in ElementCollection.","Michael Reposa",true],["55aab4e564165df7a43c4b7ffd6df95567e5cae8","bdca38fddb91f3b5b1ee636df19d93a4decd7cdf@cra.com","Fixes for issue #166\n\nThis commit changes all constraint management in Figaro to log space.\nThere should be no forward changes for the user, and users can still\ndefine their constraints normally and figaro will automatically convert\nto log space. The major changes are:\n\n1. Element now contains an addLogConstraint and setLogConstraint so the\nuser can set constraints that are already in log space\n2. Added convenience classes for the two types of constraints in\nConstraintType.scala. The user should never need to call these\n3. Added a LogConstraint evidence class\n4. Converted MH, Imp Sampling to log space, kept factored algorithms in\ndouble space\n5. Particle Filtering is NOT in log space, since to do so would require\nchanging the ReSampler which is a shared class (can do so if we want)\n6. Decision Imp Sampling is not fully in log space since utilities and\nprobabilities are multiplied, and utilities can be negative\n7. Added a logSum and logSumMany function to package.scala to add values\nin log space\n8. Changed tests accordingly.","bruttenberg",true],["0dde337f1ac50e5ec4828ab9cd24df3b9b9c60c7","399c8f319c7fa7c75446b68b432fa59b1da4a611@cra.com","Merge pull request #167 from bruttenberg/DEV2.2\n\nFixes for issue #166","Michael Reposa",true],["2e1c96d6818bb12bdbc76c1677d3ce8dcaac1cee","d6035818b277d6045e52b89551f0dbf609c20982@cra.com","Merge pull request #168 from apfeffer/DEV2.2\n\nMerge pull request #1 from p2t2/DEV2.2","apfeffer",true],["c07c2a9d7a0bf938b19a0aec69eb332b64942664","d6035818b277d6045e52b89551f0dbf609c20982@cra.com","Merge pull request #2 from p2t2/DEV2.2\n\nDev2.2","apfeffer",true],["7ef38e95ad52f28cc4387d818b78c9a6adeb47ae","399c8f319c7fa7c75446b68b432fa59b1da4a611@cra.com","Merge pull request #164 from mhoward2718/DEV2.2\n\n#132","Michael Reposa",true],["7edabb1da6d15773d40b9c0124e66d1a9620197c","d6035818b277d6045e52b89551f0dbf609c20982@cra.com","Importance sampling implements likelihood weighting","Avi Pfeffer",true]],"size":22,"ref":"refs/heads/DEV2.2","head":"d3530c23dab16178dcf936c2f8c0d413e66ca8df"}