Modeling workflows
A workflow is an object that can bundle together your pre-processing, modeling, and post-processing requests. For example, if you have a recipe and parsnip model, these can be combined into a workflow. The advantages are:
You don’t have to keep track of separate objects in your workspace.
The recipe prepping and model fitting can be executed using a single call to fit().
If you have custom tuning parameter settings, these can be defined using a simpler interface when combined with tune.
In the future, workflows will be able to add post-processing operations, such as modifying the probability cutoff for two-class models.
| System | Target | Derivation | Build status |
|---|---|---|---|
| x86_64-linux | /gnu/store/h3p3qj42rwl1k0aqazwfjbf6zxm3pmdi-r-workflows-0.1.1.drv | ||
| mips64el-linux | /gnu/store/5s9dphb3lmsk6nxcsv75kidh5h0ydvdf-r-workflows-0.1.1.drv | ||
| i686-linux | /gnu/store/ljpf8lr6v41r70rfz4mwhii3ayaw3dmx-r-workflows-0.1.1.drv | ||
| i586-gnu | /gnu/store/k873z4szylqrrfnwhdvcamzlrss31ajx-r-workflows-0.1.1.drv | ||
| armhf-linux | /gnu/store/pyqrs9ssgaf4ygq21szl7z504ys3773h-r-workflows-0.1.1.drv | ||
| aarch64-linux | /gnu/store/r0n3fbc9wvrff9anvlask8zs63q4lm7m-r-workflows-0.1.1.drv |
| Linter | Message | Location |
|---|---|---|
| No lint warnings ✓ | ||