Result for 004525F8CD5AF5755297A428F13BCB22EBEEC93D

Query result

Key Value
FileName./usr/lib64/python2.7/site-packages/sklearn/neural_network/rbm.pyo
FileSize12546
MD54E5636BA3586CCEFCEF09ED1828F3EDC
SHA-1004525F8CD5AF5755297A428F13BCB22EBEEC93D
SHA-256E46F4BFB4C87EE461644D6BB9AA719EB450A46A7D6AAA7D0D14E19834D7A2304
SSDEEP384:wAmbxqntVkg3VKh2rVfCNpkW3lbGkss88m:3UqntVkusqVfCN+Io
TLSHT1F2428485FEA25B6BC1A281B230F85143CEBAB07B95C1235138DEA5742FC5534E22E7C8
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
MD5678BA962932B8126200FCF9163BA8CEF
PackageArchppc64le
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
PackageRelease1.fc21
PackageVersion0.15.2
SHA-1D898EC3E51BF1FC42EAEC2303474C0A4557E2958
SHA-256347AB53E4642DAC3B9DBF32283F639BBA41843F5239F8B7B715DAEE4C66634FB