| Key | Value |
|---|---|
| FileName | ./usr/lib64/R/library/RWeka/Meta/package.rds |
| FileSize | 1351 |
| MD5 | 73908747A3125CF9A45A338B5CEE15DE |
| SHA-1 | 07915DFFE4BE37F7C8714A2CB09D05FFA84E893F |
| SHA-256 | 3FCF7C9875946B33D1943F9570EA65A6912A84D049A4475CA48E7C300790656E |
| SSDEEP | 24:Xs0WBEvU3tPuFEI5gCHo8M24URP2ZAxnW6Twg0p0sZ5PckM9y67xXPHqNO0daFP:XXWBEvuRu35gCHo8MzAxNTRpi5vMg673 |
| TLSH | T1AE21D8C68F68E0D0E1622C7687445F98B6F1688E4C1C11A176C527AD24F461A81CA630 |
| 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 | 6CA942E1743D91DED4B1BFD08D9AF700 |
| PackageArch | x86_64 |
| PackageDescription | An R interface to Weka (Version 3.7.10). Weka is a collection of machine learning algorithms for data mining tasks written in Java, containing tools for data pre-processing, classification, regression, clustering, association rules, and visualization. Package RWeka contains the interface code, the Weka jar is in a separate package RWekajars. For more information on Weka see <http://www.cs.waikato.ac.nz/~ml/weka/>. |
| PackageName | R-RWeka |
| PackageRelease | 1.123 |
| PackageVersion | 0.4.39 |
| SHA-1 | 0E40454308D759B3F7D76AC6CA2EE8C7B9BE7D65 |
| SHA-256 | DD04AF53C3BA3674FEC64E770440628FD9F92B9E062972FDF719109A60E0167A |