`R/autoencoder_variational.R`

, `R/generics.R`

`generate.Rd`

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, ...)

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 |