| Key | Value |
|---|---|
| FileName | ./usr/lib64/R/library/glmnet/libs/glmnet.so |
| FileSize | 239976 |
| MD5 | 82793156FCFDC4D05BB238F3D4B82CF9 |
| SHA-1 | 36B014AE455FB5EAF1024D6FE497B0B8D2204ADC |
| SHA-256 | F55C5D38FD012107EEEC81EB7FF3C924F4167741C009FDB16830992D510281A2 |
| SSDEEP | 3072:J6ri0K4I0iralrnMxPMgDJGZkKBMaB4H9sbNNliNNAZRNoaLl379Zau:14IYlTMZ3NGleaCs8NNAKy7uu |
| TLSH | T17134FB43F4A2849CC496D974637B7023BA71784D813C7636ABC1DE203BBFB14AA9B715 |
| 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 | F439485E260F07F8961D091FEEAB3175 |
| PackageArch | x86_64 |
| 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 | 1.18 |
| PackageVersion | 2.0.18 |
| SHA-1 | 1AFC1147F7800566C60BF82F871662B2F92EBD20 |
| SHA-256 | 4737A50A7843F82AC0AD815534E65B8DEDB782F931F96997F8841E1A2DCEE160 |