Result for 83ED8C538E0BA48D318E7B2946DFD465810CB176

Query result

Key Value
FileName./usr/bin/liblinear-train
FileSize18520
MD557F9E5D3C21CD79A16130A5D713643FD
SHA-183ED8C538E0BA48D318E7B2946DFD465810CB176
SHA-2569EB894F04526E8E8BA1907B0E34E36FDE447BEBC71F15CB664D6A67C46B12334
SSDEEP384:/8YMMRHqqD+RB0QPhkJbiXSqq5HdJt5raA/:EhMRDOmhiXSqO5rj
TLSHT19F82D78BEB6A89B5D8F43B7A519E46B26777DD39B3861B013BDCF31408362694F20710
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
FileSize22952
MD51B94444533E332251622D27E315102E3
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-17497DA050361BDB216D3CD21C73B39D664081DDE
SHA-2566C542612F52CBA294640E87F5F658F3F700E078213FF0C5C6DDEEE9A17750D2B