Result for 01C8E8799DACEE2BDDB3636EDBDCEE716BFA5486

Query result

Key Value
FileName./usr/share/doc/python-sklearn-doc/examples/datasets/plot_random_dataset.py
FileSize2461
MD59089A899F7938B0C9AA5CA03A90828CB
SHA-101C8E8799DACEE2BDDB3636EDBDCEE716BFA5486
SHA-2562B81C99A205C4E0C97EC65877DFC7E496BE9A287B78744FF5E48CB3689D5B336
SSDEEP48:w+LrL6y1nb6++Y+K7jr70WO00Fm7A7RK/Z77:wUL6Yb6++YcpK/J
TLSHT1D351A046D080D93237A362BB3DB106E11BA3134E9E41580E78BF0BC54BC9F1DB6AD557
hashlookup:parent-total6
hashlookup:trust80

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Parents (Total: 6)

The searched file hash is included in 6 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD561A52FA64006DA080E9B8D3F952C4E81
PackageArchx86_64
PackageDescription Scikit-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
PackageRelease2.fc32
PackageVersion0.22.1
SHA-1DB0E60B1636CCF1DA08F6DE62C04A2C4A85E16F9
SHA-256C10285BEAA8944C8F698E3BF9CAB30FCA5E17FD8898D0975C14B9014EF02B418
Key Value
FileSize40038052
MD597F5F0AF525FBF65B2A74523C14888B5
PackageDescriptiondocumentation and examples for scikit-learn This package contains documentation and example scripts for python-sklearn.
PackageMaintainerDebian Science Team <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython-sklearn-doc
PackageSectiondoc
PackageVersion0.20.2+dfsg-6
SHA-13B5FA592624CB99E08DA44CA36B624A73989FCEF
SHA-256C4738EE599393924A559B1C10174DA1DB3C35BF0EE2F142C028CCBA0F8D9BF5D
Key Value
FileSize227248
MD5900EBF44473C1A35A147D60FEF73DADA
PackageDescriptiondocumentation and examples for scikit-learn This package contains documentation and example scripts for python-sklearn.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-sklearn-doc
PackageSectiondoc
PackageVersion0.22.2.post1+dfsg-5
SHA-1000F79FA29B1AC84FCDE0E4526206A1A9995D859
SHA-256F036D20BF3C14BA526C6C50FE818B26D818218BD5FAAA9F22CE59C551A94FA48
Key Value
MD5E792E5D6D39E3A15CC843693E91BC76B
PackageArcharmv7hl
PackageDescription Scikit-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
PackageRelease2.fc32
PackageVersion0.22.1
SHA-1F83CFCCAD333126AEBC7CBD1D680322CFF6C40CA
SHA-256A9ADCAC6402F3242E6803C3B3D5446413A23AE4D573920779B720BB312C7437E
Key Value
FileSize5021320
MD5363D8F2EB07034E13D36E0F479962FF6
PackageDescriptiondocumentation and examples for scikit-learn This package contains documentation and example scripts for python-sklearn.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-sklearn-doc
PackageSectiondoc
PackageVersion0.19.1-3
SHA-1FE045BA64B682A95428CDFD4F14A32E692049A16
SHA-256CBF0D33F2A1F654C39BC9612723B83CE071793BFD1AC0FAD7D93FE84E14DFC0B
Key Value
MD5C2EB81F2F4FFA86579390FF7D437AA58
PackageArchaarch64
PackageDescription Scikit-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
PackageRelease2.fc32
PackageVersion0.22.1
SHA-1BA9E1CFDF19A6783B0B93CE48A0BBED51B38BA93
SHA-2567A4C5A99C3F3A2C76FB29E124FD5EF82089431B2B87A35FDA68EA979EB04C90F