Result for 5FC398D34F49C11C40DDAEBC9DAFF0484A38C6BB

Query result

Key Value
FileName./usr/bin/liblinear-predict
FileSize14352
MD54FB4709125DC262F48C0F83E771F5589
SHA-15FC398D34F49C11C40DDAEBC9DAFF0484A38C6BB
SHA-256A0AEC99F547076892B9CE2C15E325B75ECD33ECD2F6AD96EB1B7BBA3906E0477
SSDEEP192:eXwceaE36k+6xjFmnBA4VpDCUM3R1cyQ6EZ/KYDS:6et3VZjFmOR1cylEZyY
TLSHT10E52A49B2B3696EAC4F97B3291CF4378A737493073560A29B7ADDB240D837044F21A91
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
FileSize21374
MD504BC36DADD950A47C1408046F4F091E5
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-15968477CFCF8A231890EEBE7F0B6FDA61B7FF5A9
SHA-256B61AE8BC209B0AEA80596915343DEF5949F4073CB275A158BF3FBD5039ECE906