glossary
glossary.RmdGlossary
daisugi is designed as an engine curation metarepo. there are a handful of nomenclature below that will be helpful for navigating the package. all machines are fitted with (x, y) interfaces. the machines are dictated with a prefix verb. Those are listed below:
Machine Information
in addition to the typical reference page, this should be helpful for practitioners who would like to dive a bit deeper into the root repos, whitepapers, or other information.
knitr::kable(df, format = "simple")| docsource | alias | haiku | |
|---|---|---|---|
| ebm | https://interpret.ml/docs/ebm.html | explainable | each feature speaks alone |
| the sum is | the whole model | ||
| darkness be | comes light | ||
| perpetual | https://perpetual-ml.github.io/perpetual/ | perpetual | one knob, the budget |
| self-genera | lizing design | ||
| no search, | just descent | ||
| snap | https://ibmsoe.github.io/snap-ml-doc/v1.6.0/manual.html#snapboost | snap | depth rolls like dice |
| decision or | linear | ||
| random numb | er tricks | ||
| wild | https://github.com/pyensemble/wildwood | wild | every pruning weighed |
| out-of-bag | shadows voting | ||
| wilder than | the rest | ||
| yggdrasil | https://github.com/google/yggdrasil-decision-forests | yggdrasil | sacred trunk rises |
| c++ decisio | n trees | ||
| fast quiet | giant |