Result for A26DC4214C94AE8375C1D276C144E0009B2BA75D

Query result

Key Value
FileName./usr/bin/liblinear-predict
FileSize13816
MD5BF37222127CD948029E820D21EFEEB96
SHA-1A26DC4214C94AE8375C1D276C144E0009B2BA75D
SHA-256083A4890BFA543B4BF9356811B79C5D7B6AA0C66148ED4BC8205449C68696BDD
SSDEEP192:OGLOwcs25HJSX3Qgc2EwWT9zd6F7b8+nqB23P9ceQhAOp5n2/p:OkYs2AggTWTNsFZdP9cei2
TLSHT1DE52E709FB81D5B2D1C7017499533B288B35C815A667F393B78D73192CA2289AFA3378
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
FileSize23736
MD5E17C892ED8F1F044DFE2F03535A4ABF6
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.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNameliblinear-tools
PackageSectionscience
PackageVersion2.3.0+dfsg-5
SHA-1DB1D5B47DB63A025C8FFE8C7CBE51DE89B0EF6E3
SHA-25673E9E90D77177D064F8115BB4C892C1A8C111958216BE1AFEE5A3E1B6A5D9FDF