| Name : R-ganDataModel
| |
| Version : 1.1.7
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp156.1.1
| Date : 2024-07-26 13:45:00
|
| Group : Development/Libraries/Other
| Source RPM : R-ganDataModel-1.1.7-lp156.1.1.src.rpm
|
| Size : 0.98 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Build a Metric Subspaces Data Model for a Data Source
|
Description :
Neural networks are applied to create a density value function which
approximates density values for a data source. The trained neural
network is analyzed for different levels. For each level metric
subspaces with density values above a level are determined. The
obtained set of metric subspaces and the trained neural network are
assembled into a data model. A prerequisite is the definition of a data
source, the generation of generative data and the calculation of
density values. These tasks are executed using package
\'ganGenerativeData\'
< https://cran.r-project.org/package=ganGenerativeData>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.6/x86_64 |
