Key | Value |
---|---|
FileName | ./usr/lib/R/site-library/glmnet/NEWS.md |
FileSize | 7218 |
MD5 | BDEF0B1D25FCFF7759CEDDA71BE2A3C1 |
SHA-1 | 2B1F60C347F925A2533C296F922D115B7B83BAA9 |
SHA-256 | 024102B637F18794CF9B5E91752FB3C4F63F20AA3EECBBFC049AD0A5BA4A1140 |
SSDEEP | 192:KMPDvgySPgiE0b4z9vq8H2pXoDUuMbjfsDbGk:TLIZv4z9vqRpYDUb7eP |
TLSH | T109E1B89BB60722B15A8204F6C6F7226C7B2D4028F78255ED169C5398250571DF13F79C |
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 | 1683136 |
MD5 | 1A2BC2CAB71BAF9E56C9E4A1DB6FA4D3 |
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 | 4.0-2-1 |
SHA-1 | FE6FC967714C288699A078BFA4602A5EBD213FD5 |
SHA-256 | 7A499233B4BF3737408293D507BDA3574DDCACB95647A2881D26C5C2902E5EB1 |