Models that learn a probability distribution
The following API is experimental. It is subject to breaking changes during minor or major releases without warning. Models implementing this interface will not work with MLJBase versions earlier than 0.17.5.
Models that fit a probability distribution to some data should be regarded as Probabilistic <: Supervised models with target y = data and X = nothing.
The predict method should return a single distribution.
A working implementation of a model that fits a UnivariateFinite distribution to some categorical data using Laplace smoothing controlled by a hyperparameter alpha is given here.