Result for B7ECA553B2B82D17E27570724043F085F9B2454E

Query result

Key Value
FileName./usr/bin/liblinear-predict
FileSize9760
MD55BE50CE41D7B3C7152ED172D0103630B
SHA-1B7ECA553B2B82D17E27570724043F085F9B2454E
SHA-2568ABFC950E52C672BF370C7F4622A4DDCD3E84B4FC9637B39AE3ED293D4FAD032
SSDEEP192:f68pxGUX8cXEoKWA8E8s+bAR2k/M/bMif+g3X3iyU:fXN0oqn87M4YifFX3
TLSHT17412C705E256E932D0A3533888870B216236C8446F63FFD776D826E81A967CCDE23F57
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
FileSize19056
MD5D099820E369E72FD040D9C827079F99F
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-1C9C8233B8BC40A4579E0DF5764B45552FFB537B5
SHA-25675E043CA6A9DC77F4BCC3A0DFDE77462F4BC3A4D33C4EA1CB256377EEC5D4A1B