| Name : R-KRLS
| |
| Version : 1.0.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.13
| Date : 2024-06-14 11:03:25
|
| Group : Development/Libraries/Other
| Source RPM : R-KRLS-1.0.0-lp153.2.13.src.rpm
|
| Size : 0.08 MB
| |
| Packager : (none)
| |
| Summary : Kernel-Based Regularized Least Squares
|
Description :
Package implements Kernel-based Regularized Least Squares (KRLS), a
machine learning method to fit multidimensional functions y=f(x) for
regression and classification problems without relying on linearity or
additivity assumptions. KRLS finds the best fitting function by
minimizing the squared loss of a Tikhonov regularization problem, using
Gaussian kernels as radial basis functions. For further details see
Hainmueller and Hazlett (2014).
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
