Simon Dedman

Probably there's a relationship between sample size (/positive sample size) & variance, and optimal bfs & lrs. Certainly gbm.bfcheck gives you a range of bfs. If I can find this...

Optimise section as a wrapper around gbm.step for bin, and separately for gaus. Once it's optimised and run, the values will already be saved in the report csv. Can then...

https://www.tidymodels.org/learn/work/tune-svm/ could do this within the tidymodels framework. Could conceptually rewrite the entirety of gbm.auto within that framework... See also https://dials.tidymodels.org/articles/Basics.html https://tune.tidymodels.org/articles/getting_started.html

this already solves in python: https://scikit-optimize.github.io/stable/auto_examples/sklearn-gridsearchcv-replacement.html https://scikit-optimize.github.io/stable/ see Hulbert.etal.2020.Exponential build seismic energy Cascadia.pdf : > We rely on the XGBoost library for the gradient boosted trees’ regression, shown in Fig....

See https://community.rstudio.com/t/hyperparameters-optimisation-frameworks-for-r-such-as-optuna-or-hyperopt-in-python/58457/2

https://github.com/AnotherSamWilson/ParBayesianOptimization

https://www.rdocumentation.org/packages/mlr/versions/2.19.0/topics/tuneParamsMultiCrit possible final solution

see gbm.auto.extras folder, tryCatchTest.R

https://proceedings.neurips.cc/paper_files/paper/2011/file/86e8f7ab32cfd12577bc2619bc635690-Paper.pdf see TPE section

Only a problem if using the summed area of CPUE e.g. in valuemap. Else each cell/pixel has a value representing the expvars' values from its midpoint, which is fine (so...