Result for 134A3B51E1BB253C4D25A748F9FFE687272766D3

Query result

Key Value
FileName./usr/share/doc/python3-tpot/docs/sitemap.xml
FileSize1574
MD5C31EAC6C43E43011F9EA66C15F9EEF16
SHA-1134A3B51E1BB253C4D25A748F9FFE687272766D3
SHA-2566B1E778210B4584B2D1EE78216FED87C211AA4D672FA959B63F3FD49014DB876
SSDEEP24:2dvFWMd/zYLmd/zud/zGd/zGkd/zb2d/zQ5d/zL2d/zVd/znK0d/H:cZO
TLSHT1613199D192B7005B1199E844ADA0BE1D6F1CC3C3F3B1895AB3AE7F982F0665277D7409
hashlookup:parent-total2
hashlookup:trust60

Network graph view

Parents (Total: 2)

The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize674904
MD58A539DA8AEC314653A84C64DED07E313
PackageDescriptiondocumentation and examples for TPOT Consider TPOT your Data Science Assistant. TPOT is a Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming. . TPOT will automate the most tedious part of machine learning by intelligently exploring thousands of possible pipelines to find the best one for your data. . Once TPOT is finished searching (or you get tired of waiting), it provides you with the Python code for the best pipeline it found so you can tinker with the pipeline from there. . TPOT is built on top of scikit-learn, so all of the code it generates should look familiar... if you're familiar with scikit-learn, anyway. . This package contains the documentation, example scripts, and tutorials for TPOT.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-tpot-doc
PackageSectiondoc
PackageVersion0.11.7+dfsg-1
SHA-14E3AB993B429463E8F4C1BC6044D95D2820DC571
SHA-256EBE2CEBB9012F0F54E30C8DAAD28E9322A20FFDFD753246F7AE6B583B21BEFB7
Key Value
FileSize674788
MD5B08E100F1943E61C2CF0F961D122B82F
PackageDescriptiondocumentation and examples for TPOT Consider TPOT your Data Science Assistant. TPOT is a Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming. . TPOT will automate the most tedious part of machine learning by intelligently exploring thousands of possible pipelines to find the best one for your data. . Once TPOT is finished searching (or you get tired of waiting), it provides you with the Python code for the best pipeline it found so you can tinker with the pipeline from there. . TPOT is built on top of scikit-learn, so all of the code it generates should look familiar... if you're familiar with scikit-learn, anyway. . This package contains the documentation, example scripts, and tutorials for TPOT.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython-tpot-doc
PackageSectiondoc
PackageVersion0.11.7+dfsg-1
SHA-18DB5FD8C11DDB6DDB80E71FFBFAAA712CC6F510C
SHA-2560D1F62E335CAC6952EBB01EDDBEAC78FF1C8289DD2D1246985F07DFA189AB638