Key | Value |
---|---|
FileName | ./usr/share/doc/mlpack-3.0.4/html/pspectrum__string__kernel_8hpp__incl.map |
FileSize | 2057 |
MD5 | 9FC4B8A111741614AED76FE12EA37D58 |
SHA-1 | 003032015907E27CF0D8846B8CCB8229308F4474 |
SHA-256 | FE834DCD6ADFB994C707F1010C6C9C2E37FD854B22AA072C43F3A0EB055502C1 |
SSDEEP | 48:oXwTxTDZ4HthXCtSS9bkJt0YtpotwmpKtWqt1BIZt9lSkOLXSzguR:ogTZuh6320EpUwmpiWCImkOWz3R |
TLSH | T162417B0977299F2B7D0905EC93ED4D4B71645232B39C0C04A1E9EA39D8863A5FF2B14B |
hashlookup:parent-total | 5 |
hashlookup:trust | 75 |
The searched file hash is included in 5 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
MD5 | FAD16944EEE9C88883C0A3BC228E3658 |
PackageArch | aarch64 |
PackageDescription | mlpack 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 Doxygen-generated documentation for mlpack. |
PackageMaintainer | Fedora Project |
PackageName | mlpack-doc |
PackageRelease | 2.el7 |
PackageVersion | 3.0.4 |
SHA-1 | 9BCE8CA8E4BB22E7117582E8B75E65C92B46E7E3 |
SHA-256 | EAADF235967BBB7D743E2F5F2762546C5561A6C887A1E60BDD3F17610234C055 |
Key | Value |
---|---|
MD5 | 6B3366DCB0D35A3E457E75C5C6E046A2 |
PackageArch | ppc64 |
PackageDescription | mlpack 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 Doxygen-generated documentation for mlpack. |
PackageMaintainer | Fedora Project |
PackageName | mlpack-doc |
PackageRelease | 2.el7 |
PackageVersion | 3.0.4 |
SHA-1 | C198B509956B0FF4779EEEB67C9E051AC55BAC60 |
SHA-256 | 9BA1F5347446201E01F3DAE5C9A6E527F66B6BC6C0B546DAB38E98D6F7529FF5 |
Key | Value |
---|---|
MD5 | 33E1A3A78A820039EF8371AD0F60B890 |
PackageArch | x86_64 |
PackageDescription | mlpack 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 Doxygen-generated documentation for mlpack. |
PackageMaintainer | Fedora Project |
PackageName | mlpack-doc |
PackageRelease | 2.el7 |
PackageVersion | 3.0.4 |
SHA-1 | 2CE03A59A889F78BF342D033F276E5869E3F4B54 |
SHA-256 | B933CA52D1FF3C7F01B52EDC77BCF22BBD8FC74FDF7E0EFC9F1EDE12DD00A46D |
Key | Value |
---|---|
MD5 | 871C6E6401D6AC711F709A1CE442EC19 |
PackageArch | aarch64 |
PackageDescription | mlpack 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 Doxygen-generated documentation for mlpack. |
PackageMaintainer | Fedora Project |
PackageName | mlpack-doc |
PackageRelease | 1.el7 |
PackageVersion | 3.1.1 |
SHA-1 | 919EEBEF005AA07280D581296DC3E7FBECA8E024 |
SHA-256 | 8FC0AA03A8617C77FF8A78F015981F369EC021ACE445E3ABC1F2D53C48627812 |
Key | Value |
---|---|
MD5 | D598BA4777DF9D6BB97EC728AD8B1C09 |
PackageArch | ppc64le |
PackageDescription | mlpack 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 Doxygen-generated documentation for mlpack. |
PackageMaintainer | Fedora Project |
PackageName | mlpack-doc |
PackageRelease | 2.el7 |
PackageVersion | 3.0.4 |
SHA-1 | F37C7361BF2A10CD6A84FB4D7C9DA1D0C2CC918C |
SHA-256 | 0BEF413D4D9F78BB0FBD6CFBED088E1DD71D1980BD1F9756B7B44ABA22A66FDE |