Result for 013D628FDE436256D5E4B3B795791F59EA373D9E

Query result

Key Value
FileName./usr/lib64/python2.7/site-packages/sklearn/decomposition/sparse_pca.pyo
FileSize8974
MD55C195273EB72B1EC037DE37453D73515
SHA-1013D628FDE436256D5E4B3B795791F59EA373D9E
SHA-2563594D86BCBB40352DE6346BEFDDB609294692D90FF925C48E319D8CD78E6418A
SSDEEP192:byIBF7MRerg3NDWA7CDFcJU0c8JGzd3t9xJCnQT/qlBF7MBef6r8WA7l3GXU0P1b:byIBaRog9yv54GzxjC1lBaBef8DKk/T
TLSHT11C0282446A564B2794A5C23069F82097CA36B4B7ED832A4139DDA4383FCB179D27F3C9
hashlookup:parent-total2
hashlookup:trust60

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Parents (Total: 2)

The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5DBAF1268CC6548DA69B7EFA0382FB4CF
PackageArchaarch64
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
PackageVersion0.15.1
SHA-1A16BAC3D07DB829D729325E141FEFB13FC42EB2C
SHA-256EBC6E78BE6FB065D3F428B073B2579E890B471365D158F4CCFDEA64C345BED1D
Key Value
MD5E0FDECB6334BF063C468BF4729678857
PackageArchaarch64
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
PackageVersion0.15.1
SHA-18016C03FAE69AAA95595A9F64CFDD20F301ED690
SHA-256E28E336A5EBE02BC3C7F346E34497E633F54EB252D5A6505D125B3FD0F0DC05C