Result for 102C805C18D5CFFCE681A596752B693B39917B49

Query result

Key Value
FileName./usr/lib64/R/library/CVST/DESCRIPTION
FileSize1272
MD5F6A4F84E1E1439A02E54C778E7155969
SHA-1102C805C18D5CFFCE681A596752B693B39917B49
SHA-2563B0B3A63A507BD5043DA316993BF147CA63A3124C5859DB5F0F450B89B8DEE25
SSDEEP24:8aBXK4PaCUrfWlB2C+yph+wCAtjmoqmFzkkzpkkew1n4Hpr7Fs:3hK4PYrulB2C+yph+w3tjmKlkfkewR48
TLSHT19721424264C92362778B02BF17AA43D6272882057BF9C09C855A85261745CF627B3BEC
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
MD5505A926DEEF0EE159CB61F00AB9BFE5B
PackageArchx86_64
PackageDescriptionThe fast cross-validation via sequential testing (CVST) procedure is an improved cross-validation procedure which uses non-parametric testing coupled with sequential analysis to determine the best parameter set on linearly increasing subsets of the data. By eliminating under-performing candidates quickly and keeping promising candidates as long as possible, the method speeds up the computation while preserving the capability of a full cross-validation. Additionally to the CVST the package contains an implementation of the ordinary k-fold cross-validation with a flexible and powerful set of helper objects and methods to handle the overall model selection process. The implementations of the Cochran's Q test with permutations and the sequential testing framework of Wald are generic and can therefore also be used in other contexts.
PackageMaintainerhttps://www.suse.com/
PackageNameR-CVST
PackageReleaselp154.2.1
PackageVersion0.2.2
SHA-14FC0E11AFD02F976096882950C38A21E0F76B795
SHA-2563194154DF768C67C120E5EEA066E6D53FA581015429CA2E70A1F1918FE1176B7