Add a stratified trainer to ML.NET

Add a trainer that splits the data according to a specified categorical column, and trains a model for each category, as well as a "default" model on the whole dataset. At scoring time, the model corresponding to the example's category is used, unless the category was not present in the training set, in which case the default model is used.