Result for 017CA997D4D9CB1C637532F8CC7AA1AA64391CCE

Query result

Key Value
FileName./usr/lib64/python2.7/site-packages/sklearn/svm/bounds.pyo
FileSize3161
MD5E99D3ECF70F423EEB16F5A934DFBB361
SHA-1017CA997D4D9CB1C637532F8CC7AA1AA64391CCE
SHA-2564A9D309926CCD42A9E5B672C32BF2AD3C75EB302C8CC10E3B4A1AFD78DBA3873
SSDEEP48:GA7+Uo4mgAqVCSyTvz40DXVTUVBl4osB9/3bEOtcJmGMRGkV/bJK7fbR162HXUGt:v7J/mzqVWfLVIIT9/bvk4V/ts3HkQx
TLSHT1D15174866EA58DAF8DA741F661744303DF5C90FB9252271135EE921D3FCA432A32F2C9
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
MD57C0C19A3357E4BF8C6478692F36F2B69
PackageArchppc64
PackageDescriptionScikit-learn integrates machine learning algorithms in the tightly-knit scientific Python world, building upon numpy, scipy, and matplotlib. As a machine-learning module, it provides versatile tools for data mining and analysis in any field of science and engineering. It strives to be simple and efficient, accessible to everybody, and reusable in various contexts.
PackageMaintainerFedora Project
PackageNamepython-scikit-learn
PackageRelease2.fc22
PackageVersion0.16.0
SHA-15D355EC39F7FA485A66589A10A3223FEFAD174D9
SHA-2569EE117D9E1AA84C756CB7A1BE823E042EDE2C44261D0AE2A6B6F9A77ED41AC7A