Key | Value |
---|---|
FileName | ./usr/share/doc/mlpack-3.1.1/html/sample__ml__app_8hpp_source.html |
FileSize | 6099 |
MD5 | 97F8D8E2BFA23998926CFA0022F4B86D |
SHA-1 | 003E165E5FDF1B47A41D339B16C828260ABF02E4 |
SHA-256 | 14F8FC56CE0250BD734BD90C600CAB3312CE4D3D7207AC1531F52DABF650A361 |
SSDEEP | 96:xKumrHu9bo1HqqTGYpz5+toIDs6RDuoz8C8f89l2M+b9Z8NMau:kumrYciTs6T2DpF |
TLSH | T13BC153665C93023681BB41C7B7F3E735B0D090A9C7440904B9FC6AAD2BC5F89B56F41B |
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 |