Result for C506F9A7A1322684FD6442E80A373AEA503DA63A

Query result

Key Value
FileName./usr/bin/liblinear-predict
FileSize9776
MD572FC7E54ADB38B2E66817ED7B06BD44E
SHA-1C506F9A7A1322684FD6442E80A373AEA503DA63A
SHA-2566151A6E1631C2D215B4C597BD36BBCC44A102A80ED32CD989369601071131AF5
SSDEEP192:H9KaSwcsFTAMFSA/tXyB6fTG5rAI98zS3h9c6Qvj8NIRbH4:HEvsNAMFZEBWTWgzgh9c6BNG
TLSHT1151294ACF1536F73D6C2263D62471F2C3761C79A83CB7F538A0411182E232AD4E6AE55
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
FileSize22964
MD5BC43994094E62784C682BB5F12F2685B
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-1FC11F4764FC5C202AF72292C201D7E16A2094A8A
SHA-256F831C30AAC75615585AF6CFED59746A4BD0E4A797A3E32C24156D1B8D6126EE5