Result for 8898FDE665881495B5E1BE6525A4B7BCA18FB9AA

Query result

Key Value
FileName./usr/bin/liblinear-predict
FileSize14628
MD52AC8D127C1C347BB6D8A9088591CBAA3
SHA-18898FDE665881495B5E1BE6525A4B7BCA18FB9AA
SHA-2567CFE2665A2E50FBFEF02F32E2DD00525390C5C78F4B65FC2FAD9E253AE428001
SSDEEP384:QgjcV4GEYR6Vv4lIMQRTDoj0utPe0PW3OM6rnOmW63TGPEh9c6Anf:QU5PYR6Vv4lIMQRTDowiPe0PW3OM6jOr
TLSHT1D46294A7FF509FABC4C6CE31466F871547FEC90C92836763A19E86482E03A5C9C9758C
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
FileSize24364
MD51E0A8B86496ED51F08B039B649F79D97
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-1DB6340B0D0442C377DC25322E08BD6E974E85105
SHA-2566C7BFE264AAD6C9B94EF765141354ABD696165E748F8CDC12A4E687AFBC1E2C3