Result for 020EBAE10920869646ADDF003F4E65839F8AFB3A

Query result

Key Value
FileName./usr/lib64/python2.7/site-packages/sklearn/datasets/mlcomp.pyo
FileSize3461
MD5D9C824CEEC69C260CA1042D388AF7600
SHA-1020EBAE10920869646ADDF003F4E65839F8AFB3A
SHA-256B241A985AFAC860EC24C48716E78D5865CCFD9F3E59FE8997D8740140A3AACE6
SSDEEP96:7Ds7QEVR5R3OLtHcODmW/FuskVRVz5CwoVM3gZJVEjlnfkC0hpl:385zSHcODHFuskRz5InEjRfkCkl
TLSHT1B7613481BB90C6779460547472B84113CA61F6FF624067913AECE0B81FACBA1A0BF7A1
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
MD5767A4326CEC11A15EA719F7813EFC50E
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
PackageRelease1.fc21
PackageVersion0.15.2
SHA-15EEAD092155F1D7DA5434CB586DDD1A773ECD99D
SHA-2569C004EAB2833A4A0DD95A2ACF788B49B1817B534C5AB272F88DBF4A00194614B