Result for 5FDABEA79CADB3EEE165FBE27E4A1F3886D7BA15

Query result

Key Value
FileName./usr/bin/liblinear-predict
FileSize14440
MD5C769B43CD15263DFB1E603551A286B30
SHA-15FDABEA79CADB3EEE165FBE27E4A1F3886D7BA15
SHA-256DC6F7FB8482189F65051C0923834887C2532B2D129E6D56B239D7A1529573904
SSDEEP192:UEE1YjVlwcs4rwJvI3JfXIibGz3B9caQhRF6ZoHE:UEE+jDsqX3JfXW7B9cawF6oE
TLSHT176526507F644D82BC2C697F1869FC7B0B7B28489E35763C32608E5282E43769EF552C8
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
FileSize23032
MD556DC9DEA0454610BEABDBE53EF86B52E
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-1F1F2E99F32CCA13F71D75F768D71881A02198ED7
SHA-25664074B2472129F19D1E0F2A5722A121A1FF3D83F6D81BCFE056B93CA02219151