Key | Value |
---|---|
FileName | ./usr/lib64/R/library/regressoR/DESCRIPTION |
FileSize | 1615 |
MD5 | CF019142039747C70FC2F30B92548850 |
SHA-1 | 07B3AF345EA5B56C131EB58AC53DFDBDB9DA1580 |
SHA-256 | 229C38E2F35628B914302F787F595796A85340C58DE252CF3A8852B079BCD084 |
SSDEEP | 48:IasN89lmhuhUOTF6g+GVYpOBvgFmZseFu8txfi:Iau4hUORA6YoBvC6uai |
TLSH | T1C2318613F8244125729BD3A23CE353464BEDB10EBFA335AD7CED856C071911C6B12274 |
hashlookup:parent-total | 1 |
hashlookup:trust | 55 |
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 |
---|---|
MD5 | 66EB82D3D75EEE0D1F14992D9B28F860 |
PackageArch | x86_64 |
PackageDescription | Perform a supervised data analysis on a database through a 'shiny' graphical interface. It includes methods such as linear regression, penalized regression, k-nearest neighbors, decision trees, ada boosting, extreme gradient boosting, random forest, neural networks, deep learning and support vector machines. |
PackageName | R-regressoR |
PackageRelease | lp153.1.1 |
PackageVersion | 2.0.1 |
SHA-1 | 6EBF19B40D9944CF4F2D7965FF83C2561FE6C486 |
SHA-256 | 68EE6F69FA3B460CCA3BFE5D1CAC7817232A4EFA2BB3A146F31A13A4C67F4BE9 |