title: Deepar Prediction Quantiles Explained
body: <p>I am working with Deepar and trying to get a better understanding of the quantile values returned. From the documentation, the likelihood hyperparameter explains that: <code>...provide quantiles of the distribution and return samples</code>. </p>
  
  <p>If I look at a single data point the quantiles returned are linear. E.g. the 0.1 quantile has the lowest predicted value and 0.9 quantile has the highest predicted value. I am having trouble understanding this. If these are samples from the distribution, shouldn't they look similar to the distribution selected with the likelihood hyperparameter (negative-binomial in my case)?</p>