title: Do I need to use future_map or map to parallelize fable forecast?
body: <p>I've created a tsibble of ~75K time series in R Studio on my local machine.</p>
  <p>I'm looking for ways to speed up the processing time before I migrate the process to a VM with more processing power.</p>
  <p>Does Fable handle all of the parallel processing in the background or are there more opportunities to make the code more efficient?</p>
  <p>Here is an example of my code</p>
  <pre><code>plan(multisession, gc= TRUE)
  tic()
  results &lt;- train %&gt;%
    group_by_key() %&gt;%  
    model(my_dcmp_spec) %&gt;% 
    forecast(h=&quot;10 weeks&quot;) %&gt;% 
    ungroup()
  toc()
  </code></pre>
  <p>Thank you in advance!</p>