Key | Value |
---|---|
FileName | ./usr/lib/R/site-library/glmnet/help/AnIndex |
FileSize | 2668 |
MD5 | 5030C45A9D6CA7B9D046B906BF928467 |
SHA-1 | 1F5FF80F0FD05D85A4E80C18850EABB44EE21F30 |
SHA-256 | 7F6D73D76B956C061861B29639808B9A5CC7C46977F0BE6DD95E5FFF9B642C14 |
SSDEEP | 48:4aEwrbrnD9B67UqZkGSmLmoU9RpO6GQ/PVpsx3Q/:4O673kLmD8jGQXVp9/ |
TLSH | T1C651C3F6683B8829B48B1DF8C3A3D261AB91893742F7F9C5D51CA325519201DB47EE48 |
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 | 1424732 |
MD5 | 2732995E4E007A6EBE89E3DF59032EB4 |
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 | 3.0-2-1 |
SHA-1 | E243066A3C67064AB3E8582D9E3BB20A87A9CADB |
SHA-256 | 6ACCDD4CEAA34B0F26C88EC0C2BDA03B6500CE4ED59174A9DBD28F70CDFD7DF4 |