Result for 78BFEFF532B8C1F3A4B36F9AC5C6E919C0237ED5

Query result

Key Value
FileName./usr/bin/liblinear-predict
FileSize9836
MD51E854253E1CBFDB2B5552CE977037B88
SHA-178BFEFF532B8C1F3A4B36F9AC5C6E919C0237ED5
SHA-2563940C4D55BCAFE7A047DD78B3C9E3CEB2E12F376ADBE103EED58D5C423E9C9DA
SSDEEP192:UZwcsZs5PBnwRm5RKbyapgE3h9c6QJzjh:U1seJBnum5s2Wgmh9c6Mj
TLSHT15F12948EB2627D72D8CB6B3F55530F352BB6C08763AB9F13A00C69704E016288D1BF94
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
FileSize22444
MD5B7D06E4F82CC0EFC5564997B2F706A6D
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-170B5ECB1EB4C0E9546C8847D6A4AE37A8032B928
SHA-256E6364A7222AEAFFA2A5B95E4027974524B899DFA321796DEA3F2325EA2137932