| Name : R-arf
| |
| Version : 0.2.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.4
| Date : 2024-06-14 11:41:54
|
| Group : Development/Libraries/Other
| Source RPM : R-arf-0.2.0-lp153.1.4.src.rpm
|
| Size : 0.53 MB
| |
| Packager : (none)
| |
| Summary : Adversarial Random Forests
|
Description :
Adversarial random forests (ARFs) recursively partition data into fully
factorized leaves, where features are jointly independent. The
procedure is iterative, with alternating rounds of generation and
discrimination. Data becomes increasingly realistic at each round,
until original and synthetic samples can no longer be reliably
distinguished. This is useful for several unsupervised learning tasks,
such as density estimation and data synthesis. Methods for both are
implemented in this package. ARFs naturally handle unstructured data
with mixed continuous and categorical covariates. They inherit many of
the benefits of random forests, including speed, flexibility, and solid
performance with default parameters. For details, see Watson et al.
(2022) < arXiv:2205.09435>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
