prompting informatively with failed-to-train models

[simonpcouch]

A good amount of gray area here, but {stacks} should throw warnings or errors on model features that may indicate tendency for failing to stack. See #105 and #106, for example.

Possible leads:

• classed errors in .notes column
• tune::collect_notes
• tune:::summarize_notes

[simonpcouch]

#111 probably makes use of the best measure we have for when tuning results may introduce issues for stacking. Going to go ahead and close this!🏄

[github-actions]

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