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 Indices of the dimensions over which the model will be sampled Lower limit on the values which will be passed to the inverse CDF of the prior Upper limit on the values which will be passed to the inverse CDF of the prior Number of steps to take in each traversed dimension Value used as parameter for the inverse CDF of all non-traversed dimensions Unused

## See also

autoencoder_variational