| Name : R-AugmenterR
| |
| Version : 0.1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.13
| Date : 2024-06-14 10:57:43
|
| Group : Development/Libraries/Other
| Source RPM : R-AugmenterR-0.1.0-lp153.1.13.src.rpm
|
| Size : 0.11 MB
| |
| Packager : (none)
| |
| Summary : Data Augmentation for Machine Learning on Tabular Data
|
Description :
Implementation of a data augmentation technique based on conditional
entropy It was devised by both authors during their masters and is
discussed in detail in the second author dissertation. It is able to
create novel samples conditioned on a desired value of a categorical
attribute, as a way to augment data for classification tasks Tests
discussed in the dissertation and future paper present that the
technique satisfies several statistical assumptions for the novel
samples. It also shows significant improvement for machine learning
models trained on small data.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
