Key | Value |
---|---|
FileName | ./usr/share/doc/mlpack-3.2.2/html/classmlpack_1_1ann_1_1ValidConvolution.html |
FileSize | 6632 |
MD5 | 5C0CB3955B35926494EB4F42733EC3FA |
SHA-1 | 000AE839FD115B48B5793572662B9B29A4D7C3C7 |
SHA-256 | 87AA9EADAB9D7B693D91B201C0B6388D34E7310B81454622EBA0685240389032 |
SSDEEP | 96:xKumrMu9bo1HqqTGYnZ5+toIDsdRozX52uoz8C8f89lFWFkT+1JTHLkJb9Z8NMau:QumrZcCTsdKO8WT+1JTrCpF |
TLSH | T1B4D140665C93423781BB42C7B7E3E735B0E09069C7040914F9FCAA9D2BC5F89B56B41B |
hashlookup:parent-total | 4 |
hashlookup:trust | 70 |
The searched file hash is included in 4 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
MD5 | 187FB3258DB56330FE8AAF09BCFF57F4 |
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 | 3.3.0 |
SHA-1 | CB94710D0E20530AA6287667473456123733362E |
SHA-256 | 277FD5CF1A4F3E0650FFB1DC271BA252827EF85DC47D319080E17402E7279138 |
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 |
Key | Value |
---|---|
MD5 | 8500E090D93ABB536727EC358AA6A8DC |
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 | 3.3.0 |
SHA-1 | 0649F9774CC719B07D00310FA65A705FBA6AD36E |
SHA-256 | 9DB007F997C0C7DC5E0CD0E0F5E770655835B6ABF01D29572906C5D2ED8EF9AE |