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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)

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.