Result for CD80F68A243391E082B9AA3EDE01220D5DF03B3C

Query result

Key Value
FileName./usr/bin/liblinear-train
FileSize13912
MD5C0C01C75D283867FEE8041F4FC424F53
SHA-1CD80F68A243391E082B9AA3EDE01220D5DF03B3C
SHA-256A995F0023A6449742B214062444B204C264742AEA88D788EAEFC6F7810890B8C
SSDEEP384:oAlYNzkk2wAGPYyTo2+kJbGXStGZHdwh:oAnZGdZJhGXSt
TLSHT12C529749F1539A67CEC162767AA7CF5933724769D7DE3B83800902681E1F2AB4F92B40
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
FileSize21864
MD55CCC1FA133E1717AEDFE801ABC902AA1
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-1616FBFAE5AE796DF4232D1DA475620BBC9DD46EB
SHA-256D44435CCEDD4BCF282B84C106C8633F3CB43482B2E798322FDBDDDD9A4219351