Result for 245F13704DD26C9B74C4505751D20DE54ED1C715

Query result

Key Value
FileName./usr/bin/liblinear-train
FileSize9884
MD5A631473E24516FF8445E0A2EEB7D33E8
SHA-1245F13704DD26C9B74C4505751D20DE54ED1C715
SHA-256372A012CB097C4E8EBE40C587150F198FC7B92A34A9FB64899160EE28A0BD7EC
SSDEEP192:lBYaX8MxPP7PR2e6tNu0hqfnnHy1LTj3ZJI8y:l1PDPR2eYNLcfnnS1/rZq
TLSHT11E12D689F2530BB3CC8E527E28A70B453BB1C5A1A75A1B034059F5B50D02C5E8F7AF6E
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
FileSize18372
MD59AF2EE1B0FB3E0837A65E166E514866F
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-1BAA8D6DCEB91461EA5D607F62C03CCA358956A41
SHA-256EDB2E352B3E973DB44D230AA9362846B9356BCEEB2E60B818C29377411583C7C