Result for 8AF7B23586CA9D0F079AA9C2E108F45FE45DDEA1

Query result

Key Value
FileName./usr/bin/liblinear-train
FileSize14688
MD5674E3CA90D4EE17E14FBD10702C2BE94
SHA-18AF7B23586CA9D0F079AA9C2E108F45FE45DDEA1
SHA-25665B1F354FF707B95BE92A4398831D48EE271AEFCDE62B1F457AB3EFD6C27A8D1
SSDEEP192:G3Q/X8pENC9IhvbM+jm8jYrkM15ziIRSXl3Hy1LTA3ZW+aG+aLUhLZSTM:/M9evbQackMXNRS13S1/qZW+abPJ
TLSHT10C62E807E252497BCDC1413049B766713A73A07DEB36232B2581A7710EA97DA0F2F769
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
FileSize19088
MD5998CF1A30AB021D9FA501CE29D3AAD64
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 <debian@kvr.at>
PackageNameliblinear-tools
PackageSectionscience
PackageVersion1.8+dfsg-4
SHA-1792BD63655EABAA8E3F209D86398BA3318334DB4
SHA-256A12C07C8C6973093128D62173DF3E15042CBACC2082199763CEE1312F43E6CF7