Result for D9280E67D7F98C7C6215E60DB7E932D531606063

Query result

Key Value
FileName./usr/bin/liblinear-train
FileSize14004
MD51A06627909E5F1FF943363AFDB9F887E
SHA-1D9280E67D7F98C7C6215E60DB7E932D531606063
SHA-25600D9DDFA0FCC11F3F40A7ADF68BAD36CD1A1F6F006300B4D6253EB1894158DD4
SSDEEP192:uraAX8mIqADO7yTvbpQyXaucWDTvd2yQHy1LTj3ZJIHffH:bXqAoGvbpJvd/QS1/rZ63
TLSHT153529384B9D5877FDCC2237E66638B4A737385B9E39B1B03C12883741A0956E4E37B61
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
FileSize18806
MD507E93626E36C1D2940AF203D2EAE27F1
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-14DB30A5CC67C027A9FF342044F32DB525AB126C7
SHA-256C4D83C8F4363AD8E92E537F0B7558DD116BEA84630B282FBCCDDEB8A7464FC69