Result for FC3092A63BED2CE371509E9C91AC37015EE75838

Query result

Key Value
FileName./usr/bin/liblinear-predict
FileSize15608
MD55FD090522A5CFD348FA103CA2585B47D
SHA-1FC3092A63BED2CE371509E9C91AC37015EE75838
SHA-256CCB6845D3723D718DAB9F11B45F30AF4CE0B7B7095932C9DFB84F9507D46177C
SSDEEP192:5r45yH66JnJO8CczFL40sVy3I7U3B9caQx8q6I:4wJclcRL40sVuB9caC88
TLSHT1A962E867F711AD3BD0D9CF32806B83B4273D894EE3423393D64C46A81D52B4D4E966C9
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
FileSize24600
MD52D2C5F0A454C90519DAC2DFE2A0A1D24
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-19D7BCE35828B05E2185CB5A77B8FBF40418044D2
SHA-25613D7894BFE8F3BA627F86EA2BD0153D7E88760A20868F69394B43F1DCF92B6B3