| Key | Value |
|---|---|
| FileName | ./usr/lib/R/site-library/glmnet/doc/glmnet.pdf |
| FileSize | 344363 |
| MD5 | 3B3FEDFC90062B4C1AD490B604657E2E |
| SHA-1 | 090A8767AFB3BA5E1206913AF58DA9DEB3CB2C26 |
| SHA-256 | B78E3924BB479C1AB4B6321A4BB6C9145D4D7451E5B1FDBD7FCD77EFB379CC5B |
| SSDEEP | 6144:GNM1UfVrRmn5h+nuJ2RAp+NtOv+uASL2O07RDqoJo6Hi:N1Uf6rWuIw+NtOvjAS2Owbi |
| TLSH | T1E1741214D0F69012C1D41338F50D1A98BEEA91F258B454533C2DCB563B9BAA1BF39EEE |
| 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 |