Result for 010E9C35543A78622079B2E1D4D0109FBAFC9F7F

Query result

Key Value
FileName./usr/include/mlpack/core/tree/binary_space_tree/binary_space_tree.hpp
FileSize21674
MD5CDDC25353E81E191A7947173B16C67C6
SHA-1010E9C35543A78622079B2E1D4D0109FBAFC9F7F
SHA-256D19BF6BEA8EC9D3014F8E2860DD0F520281BC1E4B4DF4D937BF1483C0420BE96
SSDEEP384:Xud0REyEo4tMQEo43n9P4KEUE14waQE34jnCV4K8vI8vC4Pp8vC43nT4nasn6ezi:o0ydInL4VLQnh4XhjiH4rQyYHLIQJKAT
TLSHT180A2510537F4D3F79E5118A0B32F65C5EA19467CB2B1869430ED80382F8A7B586BB7E4
tar:gnamebin
tar:unameroot
hashlookup:parent-total47
hashlookup:trust100

Network graph view

Parents (Total: 47)

The searched file hash is included in 47 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD583FAB2C865CE67CEBEFEE5C54DBC8D8D
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.el7
PackageVersion3.0.4
SHA-1005DBF1EEA5EE3FAC5F209F9AB8C5737AC4B14C1
SHA-25648BE18111F85736FAFD9BCA26DC7B7109D1A0E444AC33BDA23CC58BB585CE759
Key Value
MD5C9FAE0C895D1BC0D5258445935DC9BF2
PackageArchi686
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.fc32
PackageVersion3.2.2
SHA-11154AD17A93FE94D802AB24E9F960A1192A0E6A7
SHA-256728F4D6D33907F0543A7C5DDD015441FDF52271AC01E7FC8B0C43EA4C941B385
Key Value
FileSize620548
MD5D51F2676E340B8B181663AE97DBC8B7C
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@lists.alioth.debian.org>
PackageNamelibmlpack-dev
PackageSectionlibdevel
PackageVersion3.0.4-1
SHA-119490C2DFB3C06A9A5C26B842D48A51B979E581D
SHA-2567C343874D71CEA61486E1E96AF1FA1E564E1EBC53C6169DE30A9460847C8415F
Key Value
MD552B8482AC3402AD3CE3A00AB078549C4
PackageArchx86_64
PackageDescriptionThis package provides debug sources for package mlpack. Debug sources are useful when developing applications that use this package or when debugging this package.
PackageMaintainerFedora Project
PackageNamemlpack-debugsource
PackageRelease2.fc32
PackageVersion3.2.2
SHA-119F9B07B862CE154361996E668BFEE6856039F8D
SHA-256C756A54B6A47D543E84596B42B21072C1365F391D8082B337D40CAF7D7D10805
Key Value
FileNamehttps://ftp.lysator.liu.se/pub/OpenBSD/6.6/packages//sparc64//mlpack-3.1.1.tgz
MD54A37B3D1F12F2C7DDDD3A88FB45E29E6
SHA-11B91B137CC214E6B5321C6729943AAA24769E89B
SHA-25687691F685B026F6CE0DFFB28D61F6984D7190E79D72AB6F1125FD813CAE4006E
SSDEEP393216:+xnU8hLRnNfd2i7F3XbuaUVmR6+wbNNcGCoQyZzWl5yXObUl1cv6eVektz/oLTFz:+tUaln1R3XaaX63R2GCoQlfbUHktohpz
TLSHT17827332AB04D55CCB450201CCEA90B0A46AFB35D59EF17D064FAC0A3BDD36D25EBADD2
Key Value
MD559ED67714BB068697B4BE2D6C061CCCF
PackageArchx86_64
PackageDescriptionThis package provides debug information for package mlpack. Debug information is useful when developing applications that use this package or when debugging this package.
PackageMaintainerFedora Project
PackageNamemlpack-debuginfo
PackageRelease1.el7
PackageVersion3.2.2
SHA-1250538D0CC7299F5F10B75F3F488678A45EF46F6
SHA-256979BC6BE0DA9A97193B9DB271F88D60330E3C8B354BC022FA1776CCB3A5F938C
Key Value
FileNamehttps://ftp.lysator.liu.se/pub/OpenBSD/6.6/packages//powerpc//mlpack-3.1.1.tgz
MD557F3A4D373D944D05AF7F475A4689073
SHA-128A875B0AA2AD2BDB687CC07BC19CC2A1602DBEC
SHA-256D81D87190D14CAE73428C91CB030381B8C55F2EF09C6DBEE60B7BC6BD8C01A95
SSDEEP393216:tFEbmsR7PKaKtxGBDREWg4voVUO95Qltvrs/WZSKVkpm0WcUfUvfr2e5jrmFRWrT:tFEbmsxK9ANEWg4gVUoeoWnkmLleT2eh
TLSHT10E1733423EA5EC8EEAA69A2837762EA6CF17CC411D03CC4ADDD5F1F742C55D82E35122
Key Value
MD51973A4A35C8887F1D2D5822AF6AA00B8
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.el7
PackageVersion3.0.4
SHA-12FD272AEDAE0B01B4941D59BD2C19E7B5DE0BEFC
SHA-2562C7C744A9EE7FD942B24ED86389D515E3480963A833A092DDCEAC79EDB4ED038
Key Value
FileNamehttps://ftp.lysator.liu.se/pub/OpenBSD/6.6/packages//amd64//mlpack-3.1.1.tgz
MD5E5F8188930F557808D5A2E59A1D0E275
SHA-1395BA5CFE55D61C5BDFB6DC536562D547BD891B5
SHA-256268E0DB90811E9599A5477151F65893D2A7666E0AABABFD0DDF18004E011478C
SSDEEP393216:loYSrScPLDDDV5Qn+pdEVPcpy09CWboc/+0p3jnstfD/50:lorhLp5Qn4ymA0oWPjstr/m
TLSHT149F633D5D2901E2360A63499AB6006F151FF6E1D6EB2D9599078DCB33C46BB0FB36CE0
Key Value
MD56EFD40C8ADE2BF1EBF8D516A9F428AF8
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
PackageRelease2.fc32
PackageVersion3.2.2
SHA-13AC6A56EA6CBA952008771A20CBEFF504FA16E78
SHA-2565259B15EAA4086492124046C49614AFE09765204837A8D9B3B8CEBC235C31D17