| Key | Value |
|---|---|
| FileName | ./usr/lib/R/site-library/glmnet/libs/glmnet.so |
| FileSize | 224316 |
| MD5 | A5CEA84B2ADC643F0A31EA834AFE8532 |
| SHA-1 | 0FC7ACD2A2E9E64E536B6B242FB7970B5FBC1528 |
| SHA-256 | 3636D924DED31AD8E31027E71689172383002AC3C1748366502C6E026EEC74BA |
| SSDEEP | 3072:alMJbJXQclyOcwrLDCVCHM6vAqjX0owhubaVXYICIgwLV6zLth8CkbOi4Dn/LqOi:k+NBlZCQfvARowhubKX2IgvMbOi4DD |
| TLSH | T12F240A65EFC7C0F0D1D308F401A7A23BB8342F16A019E2E4DFD6BB56E9A5B11DA75224 |
| 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 | 1329976 |
| MD5 | 16191CFABA77CFAAA14EFD7455BAB056 |
| 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 | F235445591F95A15949BAC9CABC11BD3EE343F3C |
| SHA-256 | 767692011A29798745170002F1A3EBC85D63CB5DFD2FBC079FB96CA400B7C9F3 |