| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python3-tpot/docs/using/index.html |
| FileSize | 49607 |
| MD5 | 8204AA6D3BEDE8F5C3AC60990CEF0261 |
| SHA-1 | 51821CA6B73FB19C71730B4610C59A5E8A7736E4 |
| SHA-256 | A4538853D50BA5A6751E2AC78C41638876F1CB4446BA7E10693EA4B4FDDFE0DD |
| SSDEEP | 768:N4sRiMX1UsZ5cKN4Hg5aU5OZS+kHlUZ+S5auopS9dM8PBzwj1b11+GpAZ9Lf:hi01Uq8ZFkUZ+yaf4d/PBEo8w9Lf |
| TLSH | T11C23192755C81776010316FEBBA869A4777EC07EA3952444BDAE4B1E6B01C32A23738F |
| hashlookup:parent-total | 2 |
| hashlookup:trust | 60 |
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 |
|---|---|
| FileSize | 674904 |
| MD5 | 8A539DA8AEC314653A84C64DED07E313 |
| PackageDescription | documentation 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. |
| PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
| PackageName | python-tpot-doc |
| PackageSection | doc |
| PackageVersion | 0.11.7+dfsg-1 |
| SHA-1 | 4E3AB993B429463E8F4C1BC6044D95D2820DC571 |
| SHA-256 | EBE2CEBB9012F0F54E30C8DAAD28E9322A20FFDFD753246F7AE6B583B21BEFB7 |
| Key | Value |
|---|---|
| FileSize | 674788 |
| MD5 | B08E100F1943E61C2CF0F961D122B82F |
| PackageDescription | documentation 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. |
| PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
| PackageName | python-tpot-doc |
| PackageSection | doc |
| PackageVersion | 0.11.7+dfsg-1 |
| SHA-1 | 8DB5FD8C11DDB6DDB80E71FFBFAAA712CC6F510C |
| SHA-256 | 0D1F62E335CAC6952EBB01EDDBEAC78FF1C8289DD2D1246985F07DFA189AB638 |