Key | Value |
---|---|
FileName | ./usr/share/doc/mlpack-3.1.1/html/is__serializable_8hpp__incl.map |
FileSize | 2052 |
MD5 | 197ED130C7D1F1AED1642E1612EF05B0 |
SHA-1 | 0043F79071226778BEBBBD0C244A7E1915A557D5 |
SHA-256 | 0D659972009474D51942A2A63DA40758575D425AA56DA6712A8931D2EA6F7A2A |
SSDEEP | 48:oXvTDOtSSBkJtctEt+psHtXFWKtW8tdBIZtHSkr/6Vxi:oX2C4w+pEXAiWYwykb |
TLSH | T1B2417C09762A9F6F7D0901EC97ED4D0B66605332F39C0C1465A8E635DD8B3A4FA1B18B |
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 |