| Key | Value |
|---|---|
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| FileSize | 12159 |
| MD5 | 5DCCD3373CE92B5D718FC15CCEC4D475 |
| SHA-1 | 002577E91CAFDB9A0711DA0AE71C286741AD9716 |
| SHA-256 | 60D8A983CACB867B72E1AB044DD8878CCAA3F04E401EC06A5B439C47A79B64E9 |
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| TLSH | T17942B74DF935AAA285630A366F9F00060E51D2522E80FD7479FD8630FF5989470FA7EE |
| tar:gname | bin |
| tar:uname | root |
| hashlookup:parent-total | 32 |
| hashlookup:trust | 100 |
The searched file hash is included in 32 parent files which include package known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
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| 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 headers to compile applications against mlpack. |
| PackageMaintainer | Fedora Project |
| PackageName | mlpack-devel |
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| Key | Value |
|---|---|
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| PackageArch | x86_64 |
| PackageDescription | This package provides debug sources for package mlpack. Debug sources are useful when developing applications that use this package or when debugging this package. |
| PackageMaintainer | Fedora Project |
| PackageName | mlpack-debugsource |
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| Key | Value |
|---|---|
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| PackageDescription | This package provides debug sources for package mlpack. Debug sources are useful when developing applications that use this package or when debugging this package. |
| PackageMaintainer | Fedora Project |
| PackageName | mlpack-debugsource |
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| PackageDescription | This package provides debug information for package mlpack. Debug information is useful when developing applications that use this package or when debugging this package. |
| PackageMaintainer | Fedora Project |
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| 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 headers to compile applications against mlpack. |
| PackageMaintainer | Fedora Project |
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| PackageMaintainer | Fedora Project |
| PackageName | mlpack-devel |
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