View source: R/approach_vaeac_torch_modules.R
gauss_cat_sampler_most_likely | R Documentation |
torch::nn_module()
Representing a gauss_cat_sampler_most_likely
The gauss_cat_sampler_most_likely
generates the most likely samples from the generative distribution
defined by the output of the vaeac. I.e., the layer will return the mean and most probable class for the Gaussian
(continuous features) and categorical (categorical features) distributions, respectively.
gauss_cat_sampler_most_likely(
one_hot_max_sizes,
min_sigma = 1e-04,
min_prob = 1e-04
)
one_hot_max_sizes |
A torch tensor of dimension |
min_sigma |
For stability it might be desirable that the minimal sigma is not too close to zero. |
min_prob |
For stability it might be desirable that the minimal probability is not too close to zero. |
A gauss_cat_sampler_most_likely
object.
Lars Henry Berge Olsen
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