Result for 0069D8043C32C379C1F6CE344982230E442D3292

Query result

Key Value
FileName./usr/lib64/python3.4/site-packages/sklearn/__pycache__/kernel_approximation.cpython-34.pyo
FileSize15967
MD54B6DD6865D305722E68CF0D3AAF36B5E
SHA-10069D8043C32C379C1F6CE344982230E442D3292
SHA-25672464FA1FA375980E71B359DC6D921AE47B04B7FCFC745F87A2C49727671FED1
SSDEEP384:qEAd2MJytv4v6BwW7i+RJBO4ktkMUncQRdYJ5azYeM0ljCQD8u:qtd2RlhmW7i+HOjtkMUcUdfBMgjCg9
TLSHT1EE6274457FC1061EF691F27260FC5282DF76D56BAA8123223ADDD2293FD2460A63D382
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
MD5C00DA432FC10A2712B2B8953E60DB3AD
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
PackageNamepython3-scikit-learn
PackageRelease1.fc21
PackageVersion0.15.2
SHA-12EA6A815B85F92A81FD6088373043253650927DF
SHA-256B215D8898CF3F251D3410EDD49893A25A69D098089A8A483B4923BD4D15C7849