Generate samples from a generative model

Generate samples from a generative model

# S3 method for ruta_autoencoder_variational
generate(
  learner,
  dimensions = c(1, 2),
  from = 0.05,
  to = 0.95,
  side = 10,
  fixed_values = 0.5,
  ...
)

generate(learner, ...)

Arguments

learner

Trained learner object

dimensions

Indices of the dimensions over which the model will be sampled

from

Lower limit on the values which will be passed to the inverse CDF of the prior

to

Upper limit on the values which will be passed to the inverse CDF of the prior

side

Number of steps to take in each traversed dimension

fixed_values

Value used as parameter for the inverse CDF of all non-traversed dimensions

...

Unused

See also

\link{autoencoder_variational}