Result for F54E03CEACED63FF7C0E67840FF820413E367288

Query result

Key Value
FileName./usr/bin/liblinear-train
FileSize13924
MD5BEF28A3AAC47F508C280F1C8FC297248
SHA-1F54E03CEACED63FF7C0E67840FF820413E367288
SHA-256C2BEE515675694B50531B277333864B705A298D48D817D1D3D700EF6273CC4DE
SSDEEP192:CzuwWCQto29rWSXA1xLlXs+A1zAzk0Y/ZiTk0yijTSw3KZHdJIcl:+v29KSQrlXsbUkJbiXSaKZHdV
TLSHT139520987B2659933CCDA52B3307BCBE627FAC096E36B6B53618C53640E1085F8E52724
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