Key | Value |
---|---|
FileName | ./usr/share/doc/mlpack/html/fastmks__stat_8hpp__dep__incl.png |
FileSize | 8862 |
MD5 | DC0EC018E20D5B6D655D98B84AA7F73D |
SHA-1 | 001786DCEE41C971DCCC4E21A96657D7B6E48AA0 |
SHA-256 | 3498ED74E5E44C7A6E72918A98903BCCBF88A6FCB3C6171CD1A464580C5A032C |
SSDEEP | 192:Pi8NVTwYcGoPTW+j5mzNwOwSwMmD0iAJBBK+:PXwgoPTFj5syOwKmHAXV |
TLSH | T11502BFF78C9072113BA521FF641C85079AFC7AD72BCF5220526F7B97A231883257589A |
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 |