Add `num_samples` to transformed models (if applicable)

Elastic ML utilizes Shapley Values to determine feature importance.

For boosted regression trees, a simple form of this is to know the number of samples from the training data that "landed" in each leaf.

Certain model formats keep track of this and it can be passed to the transformed model so that feature importance can be calculated at runtime for the model.