Result for 579E52D28655E8BD368A315B035FD3D8A7F94F10

Query result

Key Value
FileName./usr/bin/liblinear-train
FileSize13860
MD5556D15DB351195AB357851CAFF0E94A4
SHA-1579E52D28655E8BD368A315B035FD3D8A7F94F10
SHA-256FBD54568C51AB6BFB75DAD0A00F708A38250E7E7AE9F227A49854B2F35038AA5
SSDEEP192:fBrayX8REOXdIPc8TsKn0ufcaRVCB+kSegQHy1LTA3ZJIT8wXAsU3:fjOXuvTspubcSiS1/qZm8
TLSHT1B452FA43E682D9B2D4825234B4D70B1213B2D475FA6FFF536B8866AC1C1EB5A5E03325
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
FileSize19056
MD5D099820E369E72FD040D9C827079F99F
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 <debian@kvr.at>
PackageNameliblinear-tools
PackageSectionscience
PackageVersion1.8+dfsg-4
SHA-1C9C8233B8BC40A4579E0DF5764B45552FFB537B5
SHA-25675E043CA6A9DC77F4BCC3A0DFDE77462F4BC3A4D33C4EA1CB256377EEC5D4A1B