Result for F9C9B396DFE3B3E286517B06649418657ABB5F04

Query result

Key Value
FileName./usr/bin/liblinear-predict
FileSize9776
MD5D8F778B6D950591608D203538B2C1558
SHA-1F9C9B396DFE3B3E286517B06649418657ABB5F04
SHA-256B785B0F5CAF7557EF94A70DA114EA8D13580BF6021442894942573A576660893
SSDEEP192:7rfwwcsvblAMMBfMj8MIMff3YnhviJWlO6U3WS359c6Q+A33:7DqsDlAMMBUj6GfiiX3Wg59c6TAn
TLSHT15312A64DF9936BBBC6C2173E52975B293321865AC3C77F03800421193E5779D8F5ABA4
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
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