Result for 0141824E81A1BA31D83E370165237E969974CD51

Query result

Key Value
FileName./usr/include/mlpack/methods/amf/init_rules/average_init.hpp
FileSize3652
MD5BF5CB6644992CBC166C26F48B7F84381
SHA-10141824E81A1BA31D83E370165237E969974CD51
SHA-25668D55DDD23D180CD3095ECEC9D497ED8B13BF59CD0BCD900AF0BB432FFD0EFEA
SSDEEP96:X+SUXRWg6CDkzu8hV2meXpy6CDvysxzu8hV2AgGafVFEv6:X8zMvQ5ytrvPvaNFC6
TLSHT1E571851E3BC24263AE4AA872ABE771809F00902FB7A1C945398E55389F464B11339F95
tar:gnamebin
tar:unameroot
hashlookup:parent-total29
hashlookup:trust100

Network graph view

Parents (Total: 29)

The searched file hash is included in 29 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5742DC3888F01EF837687D24E361A4F6D
PackageArchx86_64
PackageDescriptionmlpack is a C++ machine learning library with emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and maximum flexibility for expert users. mlpack outperforms competing machine learning libraries by large margins. This package provides the headers to compile applications against mlpack.
PackageMaintainerFedora Project
PackageNamemlpack-devel
PackageRelease3.fc34
PackageVersion3.4.2
SHA-113B8B34ED36D0180EDE34FC9085E5CA0037E1924
SHA-256157CCC40A83E42223CA1AC88946C90D7EB19987CAB57C4C913B8333DDB132CCF
Key Value
FileNamehttps://ftp.lysator.liu.se/pub/OpenBSD/6.9/packages//amd64//mlpack-3.4.2.tgz
MD5DB011C207424DFAAA163CF14BBE4FD30
SHA-11B13B9E025FA0463F3134B022E2A36CE8C1AC51F
SHA-256DBAD9E692F9888584E11FFCFC955C6D5249FF75B75F9309409B633C5D2211578
SSDEEP393216:6kVKBpdq2ICBun+7UuLtxRdnakvnqyjc4UfHXr9OhKpEJ4Ig4UhP3heRieOenCDp:6kVKBpruQUupxRkkvnqI/I79OhQEJ4Iw
TLSHT19C3733C85CDCDA572B158F316889212C66EC68E379E6EC06EB005F018D3F6BA4F6552F
Key Value
MD5226DB1B9E28A7D74F8C04309EFA83191
PackageArchaarch64
PackageDescriptionmlpack is a C++ machine learning library with emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and maximum flexibility for expert users. mlpack outperforms competing machine learning libraries by large margins. This package provides the headers to compile applications against mlpack.
PackageMaintainerFedora Project
PackageNamemlpack-devel
PackageRelease2.fc33
PackageVersion3.4.1
SHA-12BC4A5BE52860DD0AA3F218BAF5C198857A3D497
SHA-25644EF029F14002F485E27DAF8A32D5DCE44D7F502FFECC3CC40A2B4E219A9ED14
Key Value
MD5925938C7A227C0381F0B200E384B019C
PackageArchs390x
PackageDescriptionmlpack is a C++ machine learning library with emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and maximum flexibility for expert users. mlpack outperforms competing machine learning libraries by large margins. This package provides the headers to compile applications against mlpack.
PackageMaintainerFedora Project
PackageNamemlpack-devel
PackageRelease1.el8
PackageVersion3.4.2
SHA-13D6D31DB27399009C42A3001ED16DE7805009FE2
SHA-2561D18EF2A6CF515E4F6C9B07EE9B15E22B9421A5FF4744A37B8C5DA7C4A052D53
Key Value
MD5BAA761CDDCC933A8A869E6575B5AE8AA
PackageArchx86_64
PackageDescriptionmlpack is a C++ machine learning library with emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and maximum flexibility for expert users. mlpack outperforms competing machine learning libraries by large margins. This package provides the headers to compile applications against mlpack.
PackageMaintainerFedora Project
PackageNamemlpack-devel
PackageRelease11.el7
PackageVersion3.4.2
SHA-146725E97013DB6419C036CF6C67B9E61D0ED476F
SHA-256C3C6485E90F85BAAAD83B7A5522217DAAB079AB9D16EEE63B0FF63B9D1AB95E5
Key Value
MD5E362E0D90961A486A8463D91E79A05B6
PackageArchs390x
PackageDescriptionmlpack is a C++ machine learning library with emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and maximum flexibility for expert users. mlpack outperforms competing machine learning libraries by large margins. This package provides the headers to compile applications against mlpack.
PackageMaintainerFedora Project
PackageNamemlpack-devel
PackageRelease1.el8
PackageVersion3.4.1
SHA-148C55F6AA13F8810039DED19B508FEA291227CA6
SHA-25643967170A24CB675B7C74667B7808FDADC81601E4E75CB0F2AD4D1C743EDE3C4
Key Value
FileSize848248
MD594C3CCC78754A430AC0B7CAEE8F53CE5
PackageDescriptionintuitive, fast, scalable C++ machine learning library (development libs) This package contains the mlpack Library development files. . Machine Learning Pack (mlpack) is an intuitive, fast, scalable C++ machine learning library, meant to be a machine learning analog to LAPACK. It aims to implement a wide array of machine learning methods and function as a "swiss army knife" for machine learning researchers.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@alioth-lists.debian.net>
PackageNamelibmlpack-dev
PackageSectionlibdevel
PackageVersion3.4.2-1+b2
SHA-16116BD852008F92C8C0AB67EDC596B2ACB3E0DB0
SHA-256620D7B12207E031E8FF6283BA32F519A211D8B3633032F93F502DF01B0E9A36B
Key Value
FileSize6737104
MD5501EBEDAC1A2AC98936BD98D911AD6F1
PackageDescriptionintuitive, fast, scalable C++ machine learning library (development libs) This package contains the mlpack Library development files. . Machine Learning Pack (mlpack) is an intuitive, fast, scalable C++ machine learning library, meant to be a machine learning analog to LAPACK. It aims to implement a wide array of machine learning methods and function as a "swiss army knife" for machine learning researchers.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamelibmlpack-dev
PackageSectionlibdevel
PackageVersion3.3.2-5
SHA-16A3418A79D7E7ED5C3D7233B238DD9A75F2B1D24
SHA-256DBEBE282A263FDF1414FEAC971A261E7E001ABD60FDBEFD71591DEF75DC1B1D4
Key Value
MD54FF1B46CE76B91490062D16FF29A15AE
PackageArcharmv7hl
PackageDescriptionmlpack is a C++ machine learning library with emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and maximum flexibility for expert users. mlpack outperforms competing machine learning libraries by large margins. This package provides the headers to compile applications against mlpack.
PackageMaintainerFedora Project
PackageNamemlpack-devel
PackageRelease3.fc34
PackageVersion3.4.2
SHA-16C9218AEB22215FE5718C456A89BE2BB2405AE2A
SHA-256569350C82740AB43091CB0F0177BE9A6BF5A1E5D0EA8E4CBA33B6DE34766D1C3
Key Value
MD557DC4443CD268C885A03792E207C2DE8
PackageArchx86_64
PackageDescriptionmlpack is a C++ machine learning library with emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and maximum flexibility for expert users. mlpack outperforms competing machine learning libraries by large margins. This package provides the headers to compile applications against mlpack.
PackageMaintainerFedora Project
PackageNamemlpack-devel
PackageRelease2.fc33
PackageVersion3.4.1
SHA-16FACD6D8CA012998817DA34BA9AD84FCE0116C6F
SHA-256F77821216B657458A2DFD99F560EF5E793BDF92D2BAFA4632653E495B4D56A97