Key | Value |
---|---|
FileName | ./usr/share/doc/mlpack-3.4.2/html/dir_000109_000040.html |
FileSize | 7223 |
MD5 | 358580778F9ADF838A97695C420DD938 |
SHA-1 | 004AC033B73B89BCAC05BC38D2FC2933F6D182F6 |
SHA-256 | 30B368725B67A08E4030CE7D0DF8AEE196A0ED45540A6738FE93EDB66F67BF73 |
SSDEEP | 192:FumrbcITFnL2PIjUiK0usnuDnubDubhpF:Fu+TZrUiK0usnuDnubDubhpF |
TLSH | T197E112756C92023781B712CBB2E7FB3CB0E190A9C7104D24BDFC69AA5B45F85A65F01B |
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 | 1D1F717F9A9BDA2250DD6F5CAB45D915 |
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 | 11.el7 |
PackageVersion | 3.4.2 |
SHA-1 | 63C6E6C1D3526F3095D86C4711245C9BCA683D83 |
SHA-256 | 00F5E64D8F37A62BF6E9E283712CCF1F7096F2928111722B9804CFB5900C0424 |