| Key | Value |
|---|---|
| FileName | ./usr/lib/R/library/glmnet/libs/glmnet.so |
| FileSize | 206036 |
| MD5 | 118466401D6F2D2AFAA930CA6461E6AF |
| SHA-1 | 05A8598CB8DC3658A975A3C25C4DB98B2835ABC5 |
| SHA-256 | 0474F2583C4C6C82AC310AC2F619FE2E4DE7D32CF606B3E6BD730452BC4A0A7A |
| SSDEEP | 3072:3nIopDRm7yMcFA/rXYS8EdBmNMQOLDFKH0DDcL0MWutbJrQPhYpcTUPtM9Gkuq+S:3g73/rXl5BmQFe0MvbiVatP4T |
| TLSH | T13C1429C1FC925FA4CBC57AB1A6BD67DC73170B75C3A670054E188F25A7D6A2E0A36B00 |
| 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 |
|---|---|
| MD5 | 91DA86A9B3321A44E36D5F8569466FBA |
| PackageArch | armv7hl |
| PackageDescription | 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 regression. The algorithm uses cyclical coordinate descent in a path-wise fashion. |
| PackageName | R-glmnet |
| PackageRelease | 1.43 |
| PackageVersion | 2.0.18 |
| SHA-1 | CAEA1F34B30C6BE3823C6A47CB82E131F49AB805 |
| SHA-256 | A39B6D1C1F209934534991345E6F6B4BFC7F635A7C488F24DE1A6ADBA6CD8E8F |