Key | Value |
---|---|
FileName | ./usr/lib64/R/library/glmnet/libs/glmnet.so |
FileSize | 248072 |
MD5 | 2ACFA5C07172C341FCBAC30DDAB0F46B |
SHA-1 | 29AC1DA6EB727016FF5D9B87D3EA94859D280499 |
SHA-256 | E446E8352871A5F03454115AD1B589448AC6BE888DE8CB1E08B1239AD47CB7AB |
SSDEEP | 3072:cZ4Abc602/Q+XP4dKeh04hL1jw3cLZIp8VdwLjqFD8usqb8+Q3+HviNh6Jvky52S:gbu2/2dH/jw30IUG/qp8kbquqiLIG |
TLSH | T1CB34EA43F4E284ECC4D6D974923BB023BA71784D813C6635AB85DE203BBFB14AA5B715 |
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 | 913CA99019D6C21897051A4F8991C327 |
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 | lp151.1.41 |
PackageVersion | 2.0.18 |
SHA-1 | 56CD6BD10D0F9CB45C1D6C37F4D3D233E46EF875 |
SHA-256 | C86A01688E6B2C7BB06E70980844BAD85E86EC8675BD45CC17CA7BF469198627 |