Parents (Total: 2)
The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:
| Key |
Value |
| MD5 | D00ED811A2D5223B90CF4FB97D1BB0CE |
| PackageArch | x86_64 |
| PackageDescription | The 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. |
| PackageName | R-CVST |
| PackageRelease | lp153.2.3 |
| PackageVersion | 0.2.2 |
| SHA-1 | EE84C0AEF87804DA73D07E76C76301F4A3A43C15 |
| SHA-256 | 746FFA0B518F011AB116100EF7303D50FB4DFBEE8308C2EBF06A1D6CC453CAB6 |
| Key |
Value |
| MD5 | 505A926DEEF0EE159CB61F00AB9BFE5B |
| PackageArch | x86_64 |
| PackageDescription | The 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. |
| PackageMaintainer | https://www.suse.com/ |
| PackageName | R-CVST |
| PackageRelease | lp154.2.1 |
| PackageVersion | 0.2.2 |
| SHA-1 | 4FC0E11AFD02F976096882950C38A21E0F76B795 |
| SHA-256 | 3194154DF768C67C120E5EEA066E6D53FA581015429CA2E70A1F1918FE1176B7 |