sampling_correlated: A reparameterization in order to sample from the learned...
In ML2Pvae: Variational Autoencoder Models for IRT Parameter Estimation
View source: R/construction_functions.R
sampling_correlated R Documentation
A reparameterization in order to sample from the learned multivariate normal distribution of the VAE
Description
A reparameterization in order to sample from the learned multivariate normal distribution of the VAE
Usage
sampling_correlated(arg)
Arguments
arg
a layer of tensors representing the mean and log cholesky transform of the covariance matrix
ML2Pvae documentation built on May 23, 2022, 9:05 a.m.
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View source: R/construction_functions.R
| sampling_correlated | R Documentation |
A reparameterization in order to sample from the learned multivariate normal distribution of the VAE
Description
A reparameterization in order to sample from the learned multivariate normal distribution of the VAE
Usage
sampling_correlated(arg)
Arguments
arg |
a layer of tensors representing the mean and log cholesky transform of the covariance matrix |
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.
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