Key | Value |
---|---|
FileName | ./usr/share/doc/mlpack/html/methods_2lmnn_2CMakeFiles_2mlpack__lmnn_8dir_2link_8txt.html |
FileSize | 11799 |
MD5 | 839091EA422B970543A315E0299BF8AF |
SHA-1 | 002139EB471D43E5187F52F5A1878F1BF83A7F66 |
SHA-256 | 8732D3A2902B211383419900E710F6A12E1A01EA93AE082C8D324EFB4CAEBC73 |
SSDEEP | 192:/mIrZ9BniwnyB1EfK9py5ggl5trtHjMCgpm:/mu9BnHnyyGeRDpgpm |
TLSH | T1A0328625E4D25E37C98333E3D2A8AB2AB1F14D26D1834D84F8FDD7C56B45CC9C62582A |
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 | 28E3D9EB1D26D80F8A3F84C6301772E8 |
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.fc32 |
PackageVersion | 3.2.2 |
SHA-1 | 40DB425855EE224FEC843E5C6BCF9CEC92C4BC3C |
SHA-256 | 35CDFB7EF4E2E123C66307A5C51C66EB7524DEEEBBD6CB951752270BC4975DFF |