| Key | Value |
|---|---|
| FileName | ./usr/lib/R/site-library/glmnet/libs/glmnet.so |
| FileSize | 245824 |
| MD5 | 62115DC1E1FD34AD9BF26A1F31EA1A65 |
| SHA-1 | 1945905BF8F7087274CCA89575050DCC95D254FC |
| SHA-256 | 4E5F18E555384A921038C61C1DAE29EC8542C182F31497F0F9708BE2AA8CF871 |
| SSDEEP | 3072:m1EkQ/bvlhenfoxgL41qXIuVYyHUjgzvRZ6D31qzDvINkHgu1g5Hj:SQLlYfol8IlrkjR8DmCUg4g5Hj |
| TLSH | T1CC34E843F1B284DCC492D974967BB023BA71384D813C6675ABC1DE207B7FB10AA6B716 |
| 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 | 1338136 |
| MD5 | 62423AA084649E7BF964CB9081E863E7 |
| 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 | 2.0-16-1 |
| SHA-1 | B28DCA2C6DB1C97D2A6F5531E00C0FB66CC2CF44 |
| SHA-256 | 3136BF3715C52A9782B23D1BE1385C9FE5AE38E4FD417F73C21E5B99E3972766 |