| Key | Value |
|---|---|
| FileName | ./usr/lib64/R/library/RWeka/Meta/package.rds |
| FileSize | 1349 |
| MD5 | F3F6B03046ABE322B7E3960427A12D11 |
| SHA-1 | 0B6D0AE1AB374ABE048DC071BFEDEACD6BC81E56 |
| SHA-256 | F42CEDB6845EEC1706A6939227FFA175749C67DD42BEE1D166E6362791B9ED21 |
| SSDEEP | 24:Xs0WBEvU3tPuFEI5gCHo8M24URP2ZAxnW6Twg0p0s5jdpmpynv1d0/781DsuYs:XXWBEvuRu35gCHo8MzAxNTRpURMy1dUy |
| TLSH | T12321D8E19F5295C2D0813C7667485FD1F590298E4E1660A72BE0AD6574B704F40CE619 |
| 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 | 6DC8060863CF22EC8DF1829300AFE87C |
| 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 | 1.118 |
| PackageVersion | 0.4.39 |
| SHA-1 | D4DF038EB149C5D1986AE6D19DEDFE58E16DF010 |
| SHA-256 | 701A3B8DAC60311338578952220E7D20D65A9C3A7897735631588338BE334005 |