Result for 2163B0E6E3230B4888497B01D14D9FE294F65B60

Query result

Key Value
FileName./usr/bin/liblinear-predict
FileSize67864
MD5C54D6276C39203E924993EC3AA3AB3A3
SHA-12163B0E6E3230B4888497B01D14D9FE294F65B60
SHA-256EA9FFBE85F29B31D3A90E6E13052F97D3CDEF1E985F69EDFEF4F99C3F288B6E9
SSDEEP1536:lII9GXAh670Vuvo5izmXABa701Ovo5iTcui8X:3
TLSHT10A63A5673365571ADB16553947AE16347373AE4E03205303B804E36B2FDAB2ECE27746
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
FileSize23700
MD5F24B742D01D861E193A2A31B6C96E42B
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-13F06D4B3B27EA56FA96C2051889284189F0AC3BA
SHA-256DC968F1D891D6A60A4FE2E3DEF83149F5BE52135280A51EF7787A48A96B01D91