Key | Value |
---|---|
FileName | ./usr/lib64/R/library/glmnet/R/glmnet.rdb |
FileSize | 123424 |
MD5 | 38DF5C820D03028E9B7D9B6D0DF1CB30 |
SHA-1 | 158036C8FE6829EDFED89069164C749BDFD43EF9 |
SHA-256 | A69FC63A0D6AF91BB6645427A86A9230001BBDE3D64C3C7C3F10CB1B35A68210 |
SSDEEP | 1536:z2csnrT3XVOQ7MAP05SiETAfDCRJr9R2U3vX9+K6hpxOwHwBIGexEucFShaSyX0M:tsbwAs5bg2UPwK+xOw4ehvA0rnOuTs |
TLSH | T15AC313B29D582E9DCBFD55041583677484AD4D2CFB2420F34786E0BB2838FF85BAB255 |
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 | EE0153416AAC7A8581C323493E5F5BAB |
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 | 1.6 |
PackageVersion | 2.0.18 |
SHA-1 | 123B4F47FFA9E4A849CD7B1B4FFE28C07A448558 |
SHA-256 | FC94C8CF0E37BC2384EF8C32FD200D7F665A11A02D83FC6FF4F92EF442111674 |