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# note that the preprocessor and model fit don't need to be "untrained"
# with new_stage_* since they are unaffected by the post-processor.
new_workflow(
pre=x$pre,
fit=x$fit,
post= new_stage_post(actions=actions),
trained=FALSE
)
In the PR thread:
ec0effa surfaces an important point; removing/updating a postprocessor from an otherwise trained workflow need not remove the preprocessor and model fits, as they won't be affected by the removal of the postprocessor. This introduces the possibility of a "partially trained" workflow, where a workflow with trained preprocessor and model but untrained postprocessor should be able to fit without issue.
The text was updated successfully, but these errors were encountered:
This was already the case with preprocessors and models before. We'll continue only supporting partially-trained workflows via the @keywords internal.fit_*() functions and document as such.
re:
workflows/R/post-action-tailor.R
Lines 128 to 135 in 9e6ca98
In the PR thread:
The text was updated successfully, but these errors were encountered: