Result for DB0C6A8318F4B1790B163D7963544F72A34614C2

Query result

Key Value
FileName./usr/bin/liblinear-train
FileSize19936
MD5E117D76AF5DF0CBF54818CEE5EC304F6
SHA-1DB0C6A8318F4B1790B163D7963544F72A34614C2
SHA-25658B86172332F419B9E4B12B8C4828EAC3D407027486EB110BDD3D8A2BB57941E
SSDEEP384:ApYPhSOfywSPc+YS6VkJbGXSNWZHdblXrhutiK:wUf4PyJ+hGXSNV
TLSHT15E92F70BE3042E27C1D58A76406F8B75277C4C5AFB5193539948EB782F3A6DD4F92288
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
FileSize23580
MD58E57CE4D67B5EC3461DBBFB2BAF6D712
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-13DC65370D23DB5017262B34B84243C6C1A8FEC27
SHA-256C703D4E3BF76E1FC1A75FC942AD556642AB7F996291F51943A058AC5B9FEC046