title: Applying tidymodels fitted model to new, unlabeled data
body: <p>I've been reading articles and documentation, browsing youtube videos, etc and I cannot find a process to use a tidymodels workflow for an on-going basis.</p>
  <p>For example, <a href="https://tune.tidymodels.org/reference/last_fit.html" rel="nofollow noreferrer">https://tune.tidymodels.org/reference/last_fit.html</a> prescribes &quot;The next step would be to fit using the entire training set and verify performance using the test data.&quot;</p>
  <p>I want to tune a model with training/test data, create the last_fit, and then apply it to data for which the performance cannot be verified because it is not labeled/does not have an outcome.</p>
  <p>In my particular case, I'm creating a classification model to predict whether a particular product subscription will churn or renew. In advance, say 30 days, I want to create a prediction for a given subscription's outcome (or for all of the subscriptions that will expire in the next 30 days).</p>
  <p>As far as I can tell, <code>rsample</code> does not include a way to split the data in this manner or else I would do that. I feel like I must be missing something simple but I can only find examples where people are using completely labeled data.</p>