Is it possible to train probabilistic model to return several distributions?
That data can be modeled as a statistical process, where the distributions and parameters change as a function of x. This is in contrast to modeling it as a typical statistical distribution which assumes the same distribution and parameters throughout a range.
The &quot;a&quot; range could be modeled as a bimodal distribution and the &quot;b&quot; range could be modeled as a unimodal distribution.