- [ ] R `continue_sampling.bartmodel` / `.bcfmodel` with `num_gfr` / `num_burnin` / `num_mcmc` + per-forest/general `params` lists matching `bart()` / `bcf()`. - [ ] Python `BARTModel.continue_sampling` / `BCFModel.continue_sampling` with the same signature shape as `BARTModel.sample` / `BCFModel.sample`. - [ ] Runtime guard: recover structural params fixed by the model (e.g. `num_trees`) from the model; warn + ignore attempts to change them. - [ ] Allow `num_gfr > 0` on continuation (XBART/XBCF and re-warm-start use cases). - [ ] Sample accumulation: append to `BART/BCFSamples`; update internal `num_gfr` / `num_burnin` / `num_mcmc` counts. - [ ] Document deserialized-continuation caveat: many hyperparameters not explicitly reset by parameter lists will fall back to package defaults.
continue_sampling.bartmodel/.bcfmodelwithnum_gfr/num_burnin/num_mcmc+ per-forest/generalparamslists matchingbart()/bcf().BARTModel.continue_sampling/BCFModel.continue_samplingwith the same signature shape asBARTModel.sample/BCFModel.sample.num_trees) from the model; warn + ignore attempts to change them.num_gfr > 0on continuation (XBART/XBCF and re-warm-start use cases).BART/BCFSamples; update internalnum_gfr/num_burnin/num_mcmccounts.