| Name : R-ML2Pvae
| |
| Version : 1.0.0.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.6.5
| Date : 2024-06-14 12:06:10
|
| Group : Development/Libraries/Other
| Source RPM : R-ML2Pvae-1.0.0.1-lp153.6.5.src.rpm
|
| Size : 0.27 MB
| |
| Packager : (none)
| |
| Summary : Variational Autoencoder Models for IRT Parameter Estimation
|
Description :
Based on the work of Curi, Converse, Hajewski, and Oliveira (2019)
< doi:10.1109/IJCNN.2019.8852333>. This package provides easy-to-use
functions which create a variational autoencoder (VAE) to be used for
parameter estimation in Item Response Theory (IRT) - namely the
Multidimensional Logistic 2-Parameter (ML2P) model. To use a neural
network as such, nontrivial modifications to the architecture must be
made, such as restricting the nonzero weights in the decoder according
to some binary matrix Q. The functions in this package allow for
straight-forward construction, training, and evaluation so that minimal
knowledge of \'tensorflow\' or \'keras\' is required.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
