Result for 00C8BC433D6CDB20B5945364316598BB3A9AD62B

Query result

Key Value
FileName./usr/lib/python2.7/site-packages/sklearn/neural_network/__init__.pyo
FileSize319
MD58B04A17EDC82FCFA2FD819451DACF843
SHA-100C8BC433D6CDB20B5945364316598BB3A9AD62B
SHA-2561ED3A80169EA4B940ACBBCA1F1458B7EA8D41166288FCBE8F58DBBEE692A9985
SSDEEP6:pPW/xy/OFBvb5XnIOeBA/PyABMhN/fn/43vKMiA9Y3xmDrkA1XXhMRRaBgB:pPW/xCOFBz5Yn2/qDhN/P/43iMiAfcwc
TLSHT102E0CD51967B1F83D4BD2134B140B103859C70B3574326D8250966EF7DD87C9526F4CD
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
MD5909F587FEC3FD02B356EF44070ED72BD
PackageArchs390
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
PackageRelease3.fc20
PackageVersion0.14.1
SHA-1F8719B4FACE61FACAB36FC9BA6F596AAD1298B07
SHA-2562292809F7EF68B3A84AE9A620ADDEC44404DF88E7F56A1215347C695E94D1273