generate.ruta_autoencoder_variational | R Documentation |
Generate samples from a generative model
## S3 method for class 'ruta_autoencoder_variational' generate( learner, dimensions = c(1, 2), from = 0.05, to = 0.95, side = 10, fixed_values = 0.5, ... ) generate(learner, ...)
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 |
\link{autoencoder_variational}
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