Key | Value |
---|---|
FileName | ./usr/share/doc/mlpack/html/neighbor__search_8hpp__dep__incl.png |
FileSize | 8956 |
MD5 | 31F0374FB34F56FCD921328AC137F101 |
SHA-1 | 000790BB7FFE15A2B50C717F3CEBF529C6D77D86 |
SHA-256 | 6647749E2FA427AB0D61837F52817FFF7686BEA71DF7B0B1F99C9FD8C46ED09D |
SSDEEP | 192:V0BkhOyZoKmx82Sj0K2fGcFogpqrz6qy7JZw9LOsd:V0BkszK4QYKex7qrI7JmLDd |
TLSH | T13A02CFA6EDEA9CB8D651F4E3DB28009176AB7F4467B44527396D4BB213A70903432B83 |
hashlookup:parent-total | 5 |
hashlookup:trust | 75 |
The searched file hash is included in 5 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileSize | 52403794 |
MD5 | 43E1F2BA94906C6B13BCAB00453B5946 |
PackageDescription | intuitive, fast, scalable C++ machine learning library (documentation) This package contains documentation for the MLPACK Library. . MLPACK is an intuitive, fast, scalable C++ machine learning library, meant to be a machine learning analog to LAPACK. It aims to implement a wide array of machine learning methods and function as a "swiss army knife" for machine learning researchers. |
PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | mlpack-doc |
PackageSection | doc |
PackageVersion | 1.0.10-1 |
SHA-1 | 80B40546784BDC21F00D6DEF98564A6565705DA1 |
SHA-256 | 97C09EC80A29239970C7D801467A2799965C3B3D7209D14B5D81C85E711B67B9 |
Key | Value |
---|---|
MD5 | D6D1932449BBAC019B726D39F89DA3C1 |
PackageArch | ppc64 |
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.fc21 |
PackageVersion | 1.0.10 |
SHA-1 | D5138974EE1AB9F15F74634BFF49CA7D8A29A8CD |
SHA-256 | 5D665DA8FBFE197A61D1F5C4227EA06A8942CD4A4AC53ADB388FBCA258B0EC31 |
Key | Value |
---|---|
MD5 | 181C0E4AC8815CD9504C8F51BF39CFB2 |
PackageArch | s390x |
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.fc21 |
PackageVersion | 1.0.10 |
SHA-1 | 16D4C52637ABF788BEAFCB86D9295543FDADE533 |
SHA-256 | 1D4D8A16639663179CA5C5123B39E02FBA7ED0A58AA69648EEA7DA0EC2388654 |
Key | Value |
---|---|
MD5 | DDCCB46779783B24F729B031BC79D287 |
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.fc21 |
PackageVersion | 1.0.10 |
SHA-1 | 250319318E5FFE447524F2508BB23C1124893116 |
SHA-256 | E7FF303B83E12B5D348C980D05F9BA00E3DE0802540A87DB42DFD22A195EB34B |
Key | Value |
---|---|
MD5 | D2C757D4990F257EEBE003A9C2665C92 |
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.fc21 |
PackageVersion | 1.0.10 |
SHA-1 | EA3A81823D774808AC2358F1567BCE549EFB26C6 |
SHA-256 | AF05B1FBE9D315190CDCB1288064FAD99B9C223A3136CA045BECEFCCF2BE29CB |