Key | Value |
---|---|
FileName | ./usr/share/doc/mlpack-3.2.2/html/dir_803be3be9dbe6d9a367bb53f9fc48048_dep.md5 |
FileSize | 32 |
MD5 | 9D5BDB0D73D908020416458E97964D0A |
SHA-1 | 0041EED798118CCEF2C69DDD28582DF76305DCAB |
SHA-256 | C9C9D16C28D7ECDC8DA7944A1E0476B2F22C5D645F838DBD9BEBDC329F661FC1 |
SSDEEP | 3:bYdg5mHUn:k6Fn |
TLSH | |
hashlookup:parent-total | 2 |
hashlookup:trust | 60 |
The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
MD5 | 373261FB21C511D4C63C3F90DFA2A1F5 |
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 | 1.el7 |
PackageVersion | 3.2.2 |
SHA-1 | D9FD358E838F7398010C444F7CCFEFB8DF800F5B |
SHA-256 | 3979C803DB85D58862240AAB86A5834F5A7303CBAEF9324EAD59CEA4D8892C39 |
Key | Value |
---|---|
MD5 | 55F571157BB700A5A4A09FEE6A8F6E56 |
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 | 1.el7 |
PackageVersion | 3.2.2 |
SHA-1 | B9E4D0C198378D99A34735C901F2C4CC02FEB399 |
SHA-256 | 4ECCABA7A2872F733F7570572A12596CF43A2898CF80AF45FFA7BA5A75C9E6BA |