Result for 54AABB71EA7F56CB0455987A2AF6A227AB14C930

Query result

Key Value
FileName./usr/bin/liblinear-predict
FileSize15520
MD5E8AFDD29608B2D2EC9F0AF8FA50ADACD
SHA-154AABB71EA7F56CB0455987A2AF6A227AB14C930
SHA-256116FD0E5BCA7C2B0F3A8545BC8E3F8144D255EFF670DDA13F4FD92DD504264BA
SSDEEP192:DfDnK8pMq43+x+AL/Qk3uLhV0QQCSU3Z9caQDmn6zHKx+:DLnV4O0YZ3uLhV9NZ9ca4mQHK
TLSHT11062C92BF3846D77C4C68F31885F8774333D994AD39227839A4D42F46F52B8C5E9A289
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
FileSize22848
MD5F86FEC58555A011CFCC6D62532169DD5
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-1680894E73362781A467AD9FA7E3CE5B881C5674F
SHA-256438F5302E598FF7672475DF85406DA6AE9A79038EC9C8398BAB90D72F47A7CAF