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

autoencoder_variational