title: mlr3: visualization of lda-results in R other than stackedbarplot
body: <p>I am pretty new to the work with R and ML in general. During programming my first LDA on 'real' data and not just a trainings set with the mlr3-package, I've successfully got a prediction output which looks well.
  mlr3viz provides the plotting of these results in a stacked barplot. But I also would like to see my trained learner's plot. So how the different LD (especially 1/2) are seperatiing my data.
  As mlr3 works a bit differently than the MASS package (I guess), it is not possible to plot the data as in other google searches provided.
  May anybody help me on this topic?</p>
  <p>Thank you all in advance :)!</p>
  <pre><code>...
  #Learner
  learner.lda &lt;- lrn(&quot;classif.lda&quot;, predict.prior = c(1/7, 1/7, 1/7, 1/7, 1/7, 1/7, 1/7))
  learner.lda$predict_type=&quot;prob&quot;
  
  #Train Learner
  learner.lda$train(task_X,row_ids=train_set)
  
  #Prediction of the test_set
  prediction &lt;- learner.lda$predict(task_X,row_ids=test_set)
  autoplot(prediction, type=&quot;stacked&quot;)
  </code></pre>