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/9gcamq9x2gcj3a98ya6h054p7x08j1ij-r-workflows-0.2.1.drv | ||
mips64el-linux | /gnu/store/dfm217h5wmzdg5gh5czi5b5k9y4m7jgi-r-workflows-0.2.1.drv | ||
i686-linux | /gnu/store/n8kjdqs1nv7xr7fbx521f827n0w3qnrz-r-workflows-0.2.1.drv | ||
i586-gnu | /gnu/store/fdlhb0s6dzrwvngzsain5l9bpcbk7144-r-workflows-0.2.1.drv | ||
armhf-linux | /gnu/store/v3gd0pqihfmc9lc0kvc8r9v9kmk92kbs-r-workflows-0.2.1.drv | ||
aarch64-linux | /gnu/store/9x3r43cjz3m9xmrpyq31mr9zxgh0s4gh-r-workflows-0.2.1.drv |
Linter | Message | Location |
---|---|---|
No lint warnings ✓ |