Result for 316A3E4B18997294D15BA6D2280F963ADB3A4AAC

Query result

Key Value
FileName./usr/bin/liblinear-predict
FileSize14344
MD574B3A2540993E719B10B39A98240B730
SHA-1316A3E4B18997294D15BA6D2280F963ADB3A4AAC
SHA-2563ABBBF818D712D8EEBD245C15F2AA0D8C791AD4EE07B3FF983CAACDDF78B1E53
SSDEEP192:Ri06WUXNX8ceLEHjjjjjjjjjjjjjoeOlyhDWRfTSN13P9cuQrrCSca:V6WUXVeIEp0ysN5P9cuy
TLSHT14E529307D2A2587FC4D1473885DB92717E71B985D32303A72744AAB82E1A73D4F2FB98
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

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
FileSize21230
MD5362CB9EC4A95F940CC655DEB63F0B341
PackageDescriptionStandalone applications for LIBLINEAR LIBLINEAR is a library for learning linear classifiers for large scale applications. It supports Support Vector Machines (SVM) with L2 and L1 loss, logistic regression, multi class classification and also Linear Programming Machines (L1-regularized SVMs). Its computational complexity scales linearly with the number of training examples making it one of the fastest SVM solvers around. It also provides Python bindings. . This package contains the standalone applications.
PackageMaintainerChristian Kastner <ckk@debian.org>
PackageNameliblinear-tools
PackageSectionscience
PackageVersion2.1.0+dfsg-2
SHA-10B37325B81E0829A94558A615E330D803A87849E
SHA-2564F042A45CB499F1862A5C08D65DC52151FA3211773CA066DFCF3BB7C35D65BC1