Result for 2A4036A35584573741BB58547328CB83906E36DE

Query result

Key Value
FileName./usr/bin/liblinear-train
FileSize18520
MD5390A164308B7881B5BC3531872F60096
SHA-12A4036A35584573741BB58547328CB83906E36DE
SHA-256DEDC7D8AF95BD0AFC083C9A8E30601ABE03F9338B2C3BCDB8F3ECFACC11D421E
SSDEEP384:UrVEunNShtjQxPBkJbGXSl+5HdAHlqtgs:UFNSvHhGXSlFFqtp
TLSHT13B828287AB6A85A9D8F8373652AF47B667724C3573A50B003BDCFB290C363114B2DB54
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
FileSize21856
MD582293FBEADBBFCF5FEF318C01C94D533
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-173799EC9141EEAF836C85B29F1AA53D973FFDAFF
SHA-256D7485C7E6EA7458B610BB23026E59B37E0937F98D3B8718F1D7FE25C90159F8E