Result for EC2BA969355DFDD0855E829246616613DF3CFCB3

Query result

Key Value
FileName./usr/bin/liblinear-predict
FileSize14512
MD5F130E479B2F4FB6EDD1FA88F8D56D263
SHA-1EC2BA969355DFDD0855E829246616613DF3CFCB3
SHA-25669575529B31AF1C2FA726FB4AF7AE283B70D5C660895EEAAC7BA1F3BAEACF681
SSDEEP192:Rj8YwJwcs6nEtYvPO88THT8YomndhGV3P9cuQLMDM2oi:uYwFsSEtYvPOdbTwmdhAP9cu7M
TLSHT1AF52B70BE321CD3DC4E54730D8971D7472B2B454F736833B2195A9782EA37989F0BAA9
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
FileSize23352
MD5F88BDD88BACA45B3BFFF626606A3078E
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-1DCBF1A80C34087F3AB1094B36097F951464B5477
SHA-256B1B7E46436B73DBCA33011349A4F62CA5A950AD42EB8A120F5F5C0513517B3CF