Result for D6E330685C8EF0C70A6280C675C5B82B3A62F887

Query result

Key Value
FileName./usr/bin/liblinear-predict
FileSize14440
MD5F5B89B86DB29695A651E865E4879911F
SHA-1D6E330685C8EF0C70A6280C675C5B82B3A62F887
SHA-256B8E22DF1FE30111E88DD36F9C736ABE9E689E6D3FB2960F4CD03620354041597
SSDEEP192:covwcsg6M2DcaVsoIxWsoqoJzLPT3R1cyQx/1gV90B2SkJ8:cozsg18V3IvpoJvPbR1cy+Y9E
TLSHT16D52A41BAB67A96EC4B83B7083EF4378677B482477960B2177ACD72019937044F26E90
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
FileSize21856
MD582293FBEADBBFCF5FEF318C01C94D533
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-173799EC9141EEAF836C85B29F1AA53D973FFDAFF
SHA-256D7485C7E6EA7458B610BB23026E59B37E0937F98D3B8718F1D7FE25C90159F8E