Result for 4199E1B208129158AB099D84B6B3785E8095B16E

Query result

Key Value
FileName./usr/bin/liblinear-predict
FileSize14512
MD54F9D8426851B25C80ED76C83B9B366C0
SHA-14199E1B208129158AB099D84B6B3785E8095B16E
SHA-256CE21AEF8516CD140809BC6DADBB214F9417EC16445D2749815E0FE8138F4D9AC
SSDEEP192:RPvopFhkYwcslsl3TUoJuvFTwOx3P9cuQPtQDzKSi:EFeyslsl3YoJY5rNP9cuGOz
TLSHT13352A70AE311C93EC8E84B30DD9B193473B1B454EB32473B2655AA785E937548F0BBD9
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
FileSize22376
MD5D6DA02D18C8EC823F1BA81A95C240239
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.
PackageMaintainerChristian Kastner <ckk@debian.org>
PackageNameliblinear-tools
PackageSectionscience
PackageVersion2.1.0+dfsg-4
SHA-10EA0FA758B18CEBFBE14F87201A98080F7731C50
SHA-2565EF680D8FA36337DC9D8E64C301E97E4DC03036D6714EAFE87E78A0591845FB9