[{"_1":2,"_160":-5,"_161":-5},"loaderData",{"_3":4,"_17":18,"_25":26,"_139":140},"root",{"_5":-5,"_6":-7,"_7":8,"_9":-7,"_10":11,"_12":-7,"_13":14,"_15":16},"currentUser","primaryEmail","siteVerification","6LeIxAcTAAAAAJcZVRqyHh71UMIEGNQ_MXjiZKhI","toast","enableDev",false,"incidentStatus","theme","system","contrast","normal","routes/_layout",{"_19":-5,"_20":21,"_22":21,"_23":11,"_24":21},"username","isAskGordonEnabled",true,"isUsingNewTemplate","showMinimalLanding","showHoneypotTrap","routes/_layout.r.$namespace.$reponame",{"_27":28,"_29":-5,"_30":11,"_31":11,"_32":33,"_34":35,"_36":-5,"_37":11,"_38":39,"_88":-5,"_89":90,"_128":-5,"_129":11,"_130":21,"_131":11,"_132":-5,"_133":11,"_134":-5,"_135":136,"_137":91,"_138":-7},"canonicalUrl","https://hub.docker.com/r/hjoest/alchemy-2/tags","mcpServer","canSeeDockerfile","canSeeAutobuilds","namespace","hjoest","reponame","alchemy-2","cloudBuildSource","isAutobuildsAvailable","repo",{"_40":41,"_42":43,"_45":46,"_47":48,"_49":11,"_50":51,"_52":53,"_54":55,"_57":35,"_32":33,"_58":59,"_60":44,"_61":62,"_63":64,"_65":66,"_67":-5,"_68":62,"_69":70,"_71":11,"_72":33,"_73":74,"_79":11,"_80":81,"_85":33,"_86":87},"categories",[],"content_types",[44],"image","date_registered","2019-08-07T10:36:54.637076Z","description","","is_private","last_updated","2019-08-11T11:20:33.673243Z","last_modified","2024-10-16T13:48:34.145251Z","media_types",[56],"application/vnd.docker.container.image.v1+json","name","pull_count",859,"repository_type","star_count",0,"status",1,"status_description","active","source","collaborator_count","full_description","# Alchemy 2 - Inference and Learning in Markov Logic\nThis is a fork of the code located at https://code.google.com/p/alchemy-2/.\n\n\n## Description\n\nAlchemy is a software package providing a series of algorithms for statistical relational learning and probabilistic logic inference, based on the Markov logic representation. Alchemy allows you to easily develop a wide range of AI applications, including:\n\n* Collective classification\n* Link prediction\n* Entity resolution\n* Social network modeling\n* Information extraction\n\nIf you are not already familiar with Markov logic, we recommend that you first read the paper [Unifying Logical and Statistical AI](http://www.cs.washington.edu/homes/pedrod/papers/aaai06c.pdf). If you want to understand how lifted inference algorithms operate, read the [Probabilistic Theorem Proving](http://www.hlt.utdallas.edu/~vgogate/papers/uai11-b.pdf) paper.\n\nAlchemy 2.0 includes the following algorithms:\n\n* Discriminative weight learning (Voted Perceptron, Conjugate Gradient, and Newton's Method)\n* Generative weight learning\n* Structure learning\n* propositional MAP/MPE inference (including memory efficient)\n* propositional and lazy Probabilistic inference algorithms: MC-SAT, Gibbs Sampling and Simulated Tempering\n* Lifted Belief propagation\n* Support for native and linked-in functions\n* Block inference and learning over variables with mutually exclusive and exhaustive values\n* EM (to handle ground atoms with unknown truth values during learning)\n* Specification of indivisible formulas (i.e. formulas that should not be broken up into separate clauses)\n* Support of continuous features and domains\n* Online inference\n* Decision Theory\n* Probabilistic theorem proving (lifted weighted model counting)\n* Lifted importance sampling\n* Lifted Gibbs sampling\n\nMore info at http://alchemy.cs.washington.edu/\n\n## Code\n\n* ```src/``` contains source code and a makefile.\n* ```doc/``` contains a change log, and a manual in PDF, PostScript and html formats.\n* ```exdata/``` contains a simple example of Alchemy input files.\n* ```bin/``` is used to contain compiled executables.\n\n## Dependencies\n* g++ 4.1.2\n* Bison 2.3\n* Flex 2.5.4\n* Perl 5.8.8\n\nYou can install perl and gcc using Homebrew on Mac. Bison and Flex must be present already.\n```\n$ brew tap homebrew/versions\n$ brew install gcc49 perl518\n```\n## Build\nEither git-clone or extract the downloaded archive in $PROJECT_HOME\n * ```cd $PROJECT_HOME/src```\n * ```make depend```\n * ```make```\n\n\nNote: This fork of http://code.google.com/p/alchemy-2 has been updated to compile properly on a Mac following instructions from http://alchemy.cs.washington.edu/requirements.html\n\n## Usage\n\n### Structure learning\nLearn the structure of a model given a training database consisting of ground atoms\n```\nlearnstruct -i -o -t \n```\n\n### Weight learning \nLearn parameters of a model given a training database consisting of ground atoms\n```\nlearnwts -i -o -t \n```\n\n### *Inference* \nInfer the probability or most likely state of query atoms given a test database consisting of evidence ground atoms\n```\ninfer -i -r -e -q \n```\n\n## Tutorial\n\nTutorial: https://alchemy.cs.washington.edu/tutorial/tutorial.html\nMore: http://alchemy.cs.washington.edu/\n\n## License\n\nBy using Alchemy, you agree to accept the license agreement in LICENSE.md\n","has_starred","hub_user","immutable_tags_settings",{"_75":11,"_76":77},"enabled","rules",[78],".*","is_automated","permissions",{"_82":21,"_83":11,"_84":11},"read","write","admin","user","storage_size",87651803,"orgData","recentTags",[91],{"_92":44,"_93":94,"_95":96,"_97":98,"_99":100,"_50":117,"_118":94,"_119":33,"_120":56,"_57":121,"_122":123,"_124":108,"_125":117,"_126":66,"_127":21},"content_type","creator",17597,"full_size",87637592,"id",64637472,"images",[101],{"_102":103,"_104":105,"_106":48,"_107":108,"_109":110,"_111":112,"_113":48,"_114":-5,"_115":96,"_63":66,"_116":-5},"architecture","amd64","digest","sha256:11637708f25c840ed26a6d0ef5c5865149f7fa46a66d1f502405bdb86b57309b","features","last_pulled","2026-10-02T01:19:35.846998341Z","last_pushed","2019-08-11T11:20:34Z","os","linux","os_features","os_version","size","variant","2019-08-11T11:20:33.372006Z","last_updater","last_updater_username","media_type","latest","repository",7517739,"tag_last_pulled","tag_last_pushed","tag_status","v2","sbxKitMetadata","isPotentialSpam","isHubSbxKitsEnabled","showSbxLogoOverride","sbxTrademarkText","displaySecurityMetadata","tagAttestations","tagsHaveAttestations",[],"selectedTag","attestationsUrl","routes/_layout.r.$namespace.$reponame.tags",{"_38":141,"_148":149,"_135":158,"_159":11},{"_40":142,"_42":143,"_45":46,"_47":48,"_49":11,"_50":51,"_52":53,"_54":144,"_57":35,"_32":33,"_58":59,"_60":44,"_61":62,"_63":64,"_65":66,"_67":-5,"_68":62,"_69":70,"_71":11,"_72":33,"_73":145,"_79":11,"_80":147,"_85":33,"_86":87},[],[44],[56],{"_75":11,"_76":146},[78],{"_82":21,"_83":11,"_84":11},"tags",{"_150":64,"_151":-5,"_152":-5,"_153":154},"count","next","previous","results",[155],{"_92":44,"_93":94,"_95":96,"_97":98,"_99":156,"_50":117,"_118":94,"_119":33,"_120":56,"_57":121,"_122":123,"_124":108,"_125":117,"_126":66,"_127":21},[157],{"_102":103,"_104":105,"_106":48,"_107":108,"_109":110,"_111":112,"_113":48,"_114":-5,"_115":96,"_63":66,"_116":-5},[],"canDeleteTags","actionData","errors"]

hjoest/alchemy-2

Tags for hjoest/alchemy-2