Result for 216F08C09A7403B9793749A2ED32C45583088EB8

Query result

Key Value
FileName./usr/lib64/R/library/predictoR/app/www/predictor_options.css
FileSize2079
MD525870FB26B887065E89F73BB8FF4829C
SHA-1216F08C09A7403B9793749A2ED32C45583088EB8
SHA-2568C2746C033663A0593FB7523A918C479973A4455865413C613EF815847D21DD7
SSDEEP24:5dVaAK2vX/wOjoLTa69ZozAJzU3rJzcJz7IpJzSJsAAVcZDxdeYnOAAVk0ZDSSxX:5lXYOjoLnIEGIorGZDjeYnUa0ZDDxYnA
TLSHT1A3419094B6F21E02329B608665D38717A23CEBA3D42DC56FB345ADD20FC6798C4A2D43
hashlookup:parent-total4
hashlookup:trust70

Network graph view

Parents (Total: 4)

The searched file hash is included in 4 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5FF170D789FE94961904B35FC44149244
PackageArchx86_64
PackageDescriptionPerform a supervised data analysis on a database through a 'shiny' graphical interface. It includes methods such as K-Nearest Neighbors, Decision Trees, ADA Boosting, Extreme Gradient Boosting, Random Forest, Neural Networks, Deep Learning, Support Vector Machines and Bayesian Methods.
PackageNameR-predictoR
PackageReleaselp152.1.1
PackageVersion2.0.5
SHA-1FEDC9AAD549B4F28C07CD370FF54E34C18CBD79C
SHA-256197B04153340D42EAF43A624AE8FB428BE3FCB4CED884A3E285B4E540392EF5C
Key Value
MD52EA45F6051D80EBD6B17A2B3FF9FAB6B
PackageArchx86_64
PackageDescriptionPerform a supervised data analysis on a database through a 'shiny' graphical interface. It includes methods such as K-Nearest Neighbors, Decision Trees, ADA Boosting, Extreme Gradient Boosting, Random Forest, Neural Networks, Deep Learning, Support Vector Machines and Bayesian Methods.
PackageNameR-predictoR
PackageReleaselp154.1.1
PackageVersion2.0.5
SHA-133770562E44AD05CC8CE71B6BC2E328EC7AFA090
SHA-2564DD60B268495C37CDC69CED5251E93E765AF551F72059C877BF1E5DEE898CA76
Key Value
MD5E00A668D73BB7452A43A78C87B07F1DE
PackageArchx86_64
PackageDescriptionPerform a supervised data analysis on a database through a 'shiny' graphical interface. It includes methods such as K-Nearest Neighbors, Decision Trees, ADA Boosting, Extreme Gradient Boosting, Random Forest, Neural Networks, Deep Learning, Support Vector Machines and Bayesian Methods.
PackageNameR-predictoR
PackageRelease1.1
PackageVersion2.0.5
SHA-18FC297A09C4828463452F90D21589098A18B47C1
SHA-256087BB93109ADAEB2D77F5CE66A542E3CB045E4E4A6BAE2C54ECD648B64735E3C
Key Value
MD5C3477C2BF9F7B13B3A5333D13C7A1768
PackageArchx86_64
PackageDescriptionPerform a supervised data analysis on a database through a 'shiny' graphical interface. It includes methods such as K-Nearest Neighbors, Decision Trees, ADA Boosting, Extreme Gradient Boosting, Random Forest, Neural Networks, Deep Learning, Support Vector Machines and Bayesian Methods.
PackageNameR-predictoR
PackageReleaselp153.1.1
PackageVersion2.0.5
SHA-108CBDDA0202FD10DB3AA4C8625F061469678D7CE
SHA-25695A759E25D2A5E4DAB532EB600B2402117CF408FC33DA1BB336B2CF5DCE260EB