Key | Value |
---|---|
FileName | ./usr/lib64/R/library/regressoR/R/regressoR.rdb |
FileSize | 400428 |
MD5 | 0E676132D6E15620CFEF4E76844A03EF |
SHA-1 | 1B4F14A9932B8D0BC18AD8421082EBA1E72AFD85 |
SHA-256 | 916372A9970E826683BF8C34743A13CC812CE2FC29893677B8D23EE941ABD5A6 |
SSDEEP | 12288:BHbKkujYQZ7M6D88Y1a3WdzYoGxnEsmxF2xj/B3qr:BZ+YdhYoGEsmxwxj/tqr |
TLSH | T1A48423B0FBF4C6CA90132649A994D63CCA76A3FCFA284AC70136F5C7A94C0850D7759E |
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 | BD5F3932A816F45F639A2174E0C009CC |
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 | lp154.1.1 |
PackageVersion | 2.0.1 |
SHA-1 | EC52D06F3414F5B3FDE78A8E5AF2D1D79DA42538 |
SHA-256 | ED116C9F7084BF73B41A95FD3B04EAD7AD4523C39DF2E811E9B6D1DF8EDDEA6C |