ML2Pvae: ML2Pvae: A package for creating a VAE whose decoder recovers...
In converseg/ML2Pvae: Variational Autoencoder Models for IRT Parameter Estimation
Description
The ML2Pvae package includes functions which build a VAE with the desired architecture, and
fits the latent skills to either a standard normal (independent) distrubution,
or a multivariate normal distribution with a full covariance matrix. Based on the work
"Interpretable Variational Autoencdoers for Cognitive Models"
by Curi, M., Converse, G., Hajewski, J., and Oliveira, S.
Found in International Joint Conference on Neural Networks, 2019.
converseg/ML2Pvae documentation built on April 6, 2021, 1:46 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description
The ML2Pvae package includes functions which build a VAE with the desired architecture, and fits the latent skills to either a standard normal (independent) distrubution, or a multivariate normal distribution with a full covariance matrix. Based on the work "Interpretable Variational Autoencdoers for Cognitive Models" by Curi, M., Converse, G., Hajewski, J., and Oliveira, S. Found in International Joint Conference on Neural Networks, 2019.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.