Test montecarlo shapley with Random forests and GBM models

[Xuzzo]

The repository is built to support tabular data and hence tree based methods. However, some parts of it were built with the implicit assumption of deterministic training (e.g. linear fit), which is not the case for random forests and gradient boosting machines.
Before moving on (e.g. working on truncated montecarlo or adjusting our cache to the non-deterministic case) we should analyse the drawbacks of evaluating a non-deterministic model on our (implicitly deterministic) code.