Result for D9B2A2C0C565F72955690855D2EFEF336FDFA4F8

Query result

Key Value
FileName./usr/bin/liblinear-predict
FileSize14440
MD5D34439990C7F1B90F87C3D28AA5DAA35
SHA-1D9B2A2C0C565F72955690855D2EFEF336FDFA4F8
SHA-2564233F31ECE183D06B76B1E5EFAA23D06652EA00AF71B0CD5955C7B4B598D1F7F
SSDEEP192:pawcsQ6ZmpAfqYccgVmcgxl60CtL3jAoNnXpPb3J1cyQY/mCco:pMsQgfiNS0TzXpPjJ1cyPOC
TLSHT1A452B62B9F67E9AEC0F92B7083DF4374A377442577A61B25B7ADC32018837048F25A91
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