Result for 1B30A6FB7C312546775F163078F8A3C76F6CAB12

Query result

Key Value
FileName./usr/bin/liblinear-predict
FileSize15616
MD50FA55232914EB0E4308414B2AE609E99
SHA-11B30A6FB7C312546775F163078F8A3C76F6CAB12
SHA-25697F3CB46A9C0156B5E533B42C02EB26191B78600A77C1DC45BF8A08AD848679E
SSDEEP192:r+jcOnJOl+mCdkTkm+KBVQqWhIU3Z9caQPmtc6:6cQ/STTzVaHZ9caMmt
TLSHT10762C667F750AD2BD0C9CF32806B83B5333C9A5AE3522753C68C46B42D5274F4E9A6C8
hashlookup:parent-total1
hashlookup:trust55

Network graph view

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