arf 0.2.4
- Let verbose=FALSE silence (some) warnings
arf 0.2.3
- Add impute() function for direct missing data imputation with
ARF
- Add one-line functions darf(), earf(), rarf()
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
- 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
- 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)