Key | Value |
---|---|
FileName | ./usr/share/doc/mlpack-3.1.1/html/lmnn_8hpp.html |
FileSize | 11444 |
MD5 | C5669EF6E2B91DCF2F3623A3850BFBE2 |
SHA-1 | 004CB418A4165B90678D33502E06C2FA7E162AB1 |
SHA-256 | EEDD8879CB33182DBB2FCAA53B7DEDE4DADE0F797737D3ECD8D19FC07AB22907 |
SSDEEP | 192:gumrYciTs6T2K2ux1JPylvqxa0hKxmDHS0ywpF:guNhHbtylvqxFhKxSpF |
TLSH | T1DE32841568934737A47701D7A6EBAF3AB0D181B5C3480814F9FC676A9BC2FC5E62B01B |
hashlookup:parent-total | 1 |
hashlookup:trust | 55 |
The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:
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 |