Key | Value |
---|---|
FileName | ./usr/lib64/R/library/regressoR/DESCRIPTION |
FileSize | 1615 |
MD5 | 2D90DE828A8718591677A6B304B732F1 |
SHA-1 | 2EF0BBD0AF49963C3DB178D415DA263D5E3D9BA6 |
SHA-256 | 6FB0F769689E3872ED3196C7F05431BC295F591BE8F64A7D05EE4EFBB5C11C76 |
SSDEEP | 48:IasN89lmhuhUOTF6g+GVYpOBvgFmZseFu8txf8:Iau4hUORA6YoBvC6ua8 |
TLSH | T16E318413F8640124329BC3A239E313464BECB00EBFA335AD7DAD8568070901C2B12274 |
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 | 270D6E8A4BA4F05751D40B83D6A91157 |
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 | 1.1 |
PackageVersion | 2.0.1 |
SHA-1 | F9AABAE08741D58DE75F397DAFA099CF5B84024F |
SHA-256 | 7C71391E51893E5085007813EF2D8864A412A9AE215017530925EE5641A56899 |