Key | Value |
---|---|
FileName | ./usr/lib/R/site-library/glmnet/doc/glmnetFamily.Rmd |
FileSize | 13151 |
MD5 | D48173FCFB4A94406D39C8105447DA3F |
SHA-1 | 17187B9BD30EF8045D185AC6BDE89088D7836328 |
SHA-256 | 009B0EFBB05BCE3F02B389A6F8F87F39D7A5DAA6127D5824216D6A84D0C9D99F |
SSDEEP | 192:ePrcvXQiEl7q1pXRsbMbj7+Y9H6ihr5Fx6Ya1QiKOlL3sXi2kbd0oye0u4ZgcM:lAHqDXaI+Y16WFx6z1TVsS2kbdUe5vT |
TLSH | T14142C777630523B736C31973A75B11D69B2506BCA2E394D134AD8B38230AA3D97BB7C4 |
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 |
---|---|
FileSize | 1683136 |
MD5 | 1A2BC2CAB71BAF9E56C9E4A1DB6FA4D3 |
PackageDescription | Lasso and Elastic-Net Regularized Generalized Linear Models Extremely efficient procedures for fitting the entire lasso or elastic-net regularization path for linear regression, logistic and multinomial regression models, Poisson regression and the Cox model. Two recent additions are the multiple-response Gaussian, and the grouped multinomial. The algorithm uses cyclical coordinate descent in a path-wise fashion, as described in the paper Introduction to Glmnet. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | r-cran-glmnet |
PackageSection | gnu-r |
PackageVersion | 4.0-2-1 |
SHA-1 | FE6FC967714C288699A078BFA4602A5EBD213FD5 |
SHA-256 | 7A499233B4BF3737408293D507BDA3574DDCACB95647A2881D26C5C2902E5EB1 |