Result for 35D3391419BC18C2E84FDA6AFCF37A3F4E051713

Query result

Key Value
FileName./usr/bin/liblinear-predict
FileSize67864
MD5F5E74D6598DDC91FD16FDF2731582B10
SHA-135D3391419BC18C2E84FDA6AFCF37A3F4E051713
SHA-25659007C4181B7929903BCD9208492B86F7231A884FA271FD525C30E77327CA93D
SSDEEP1536:TT0Fufo5STMtGHAhKbO/o5yzMtmnABKbtEYK:Vr
TLSHT14A639523736D5759D726563A93AF273133B2AD4E032113036100E72A2EDBB2DCE23A42
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
FileSize24276
MD5D5D1EB47E58FBEE093AD812A80414AA6
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-16C63049AEC18615CEB5E691478AE7E3A6807341D
SHA-256B1CFFEA6C6BB4ACBFACAF068771F89BE5CC5A1C9A4D064A548B9ABD7253AB190