sampling_correlated: A reparameterization in order to sample from the learned...
In converseg/ML2Pvae: Variational Autoencoder Models for IRT Parameter Estimation
View source: R/construction_functions.R
Description
A reparameterization in order to sample from the learned multivariate normal distribution of the VAE
Usage
1
sampling_correlated(arg)
Arguments
arg
a layer of tensors representing the mean and log cholesky transform of the covariance matrix
converseg/ML2Pvae documentation built on April 6, 2021, 1:46 a.m.
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View source: R/construction_functions.R
Description
A reparameterization in order to sample from the learned multivariate normal distribution of the VAE
Usage
1 | 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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