Result for 55BF0C664541A4067A0E2D5999B3639135EB9074

Query result

Key Value
FileName./usr/bin/liblinear-predict
FileSize9892
MD5D6FE70A3A1C68DD995902145BA290401
SHA-155BF0C664541A4067A0E2D5999B3639135EB9074
SHA-2568359F645E9AEC45B831AB748BF989E2FB9C2B07F6D8D61A77DE5866F20BA4372
SSDEEP192:ODwciX8cFdt1iUWndQrEUBL+Aw8d2uF3ZNXhf:NrvmnhOKX8dTJZNR
TLSHT12912A64CFAA20BBBC5E13739425B0B5C377AC995F3972703851821741D5A289AF2BF43
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
FileSize18806
MD507E93626E36C1D2940AF203D2EAE27F1
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-14DB30A5CC67C027A9FF342044F32DB525AB126C7
SHA-256C4D83C8F4363AD8E92E537F0B7558DD116BEA84630B282FBCCDDEB8A7464FC69