Result for 01260B7A74EFBCE8C752793166BCFE3E8D02D9F3

Query result

Key Value
FileName./usr/lib/python2.7/site-packages/sklearn/feature_selection/__init__.pyo
FileSize1063
MD57032ECD7E0B7E4461C973FE54DC04D8F
SHA-101260B7A74EFBCE8C752793166BCFE3E8D02D9F3
SHA-25626D17C821D8FE054482F294C9E178449E437C7C2A93DCC7C05F09948F726DE67
SSDEEP24:pPcCdLq0TC70FVyXDJLbM2YBcx8w4olz98y0/E888888U:xnLq07FVyFLbJI4r0c888888U
TLSHT1E511AF821FB657F3C02E5A3398D0053756BC70B619510702A97C31F97FF6682C11D386
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
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