Key | Value |
---|---|
FileName | ./usr/lib64/R/library/glmnet/R/glmnet.rdb |
FileSize | 123425 |
MD5 | 2FC945C3B40D4EA2BFDDFF63EE30DA95 |
SHA-1 | 3D2F045FF47E6D620E8274F77C8C726EC3435364 |
SHA-256 | 7A3020600D12FA76DFA4C2B009351C97D1BC5ED98ED2C20958DDE653BA6386C5 |
SSDEEP | 1536:z2Dsnrh3XVOQ7MAP05SiETAfDCRJr9R2U3vX9+K6hpxOwHwBIGexEucFShaSyX0M:+sdwAs5bg2UPwK+xOw4ehvA0rnOuTs |
TLSH | T1D0C313B299582E9DCBFD55041543777488AD4D2CEB2020F3478AE0B72838FF85BAE255 |
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 | A56DDEB85D20CF4A4C3B57E7793A4751 |
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 | 1.16 |
PackageVersion | 2.0.18 |
SHA-1 | B92BBAE52A44F6F081719708E20F12B25188E661 |
SHA-256 | 78FA90A2A115F9EE723D58CFF00533C0CAFAEF24A9E5C8FC6C2EA09302B02A8C |