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arf 0.2.2

  • Faster and vectorized conditional sampling
  • Use min.bucket argument from ranger to avoid pruning if possible
  • Option to sample NAs in generated data if original data contains NAs
  • Stepsize in forge() to reduce memory usage
  • Option for local and global finite bounds

arf 0.2.0

CRAN release: 2024-01-24

  • Vectorized adversarial resampling
  • Speed boost for compiling into a probabilistic circuit
  • Conditional densities and sampling
  • Bayesian solution for invariant continuous data within leaf nodes
  • New function for computing (conditional) expectations
  • Options for missing data

arf 0.1.3

CRAN release: 2023-02-06

  • Speed boost for the adversarial resampling step
  • Early stopping option for adversarial training
  • alpha parameter for regularizing multinomial distributions in forde
  • Unified treatment of colnames with internal semantics (y, obs, tree, leaf)