Result for 31D39B3A8BC9390945E05985378B8A3743664754

Query result

Key Value
FileName./usr/lib64/R/library/RWeka/DESCRIPTION
FileSize1748
MD5E54969A87F89E2BA5765670BD43F77F1
SHA-131D39B3A8BC9390945E05985378B8A3743664754
SHA-256D6B1C66130CECD611F19255A3DE3E5B3A73EE28B8DB1066797B15E352C5BA77F
SSDEEP24:xP2LSL0JMnJe1bJkY/q5nDW7yW5xbA3arq2woHo01w4AwBtn41tZWv9fsZHO2Bmp:xP2S0RG5TGWKlA+541tYVou2BmVespz
TLSHT129315240BD151A127282F24240635712A7EBE25EF761329CBC3C89241B5E8BDD7F335C
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

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
MD5F682D20D190BC1A32EE58A4D1E90DCA9
PackageArchx86_64
PackageDescriptionAn 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/>.
PackageNameR-RWeka
PackageReleaselp151.1.58
PackageVersion0.4.39
SHA-1222C4EADFBCFCE6387D5FE33A3D3EA2DAAD80639
SHA-25609DB681F992626D0F6764B66D264E3AE03692E9E910604B81D4CFFF04990C435