Normalize posterior

[kharrigian]

In predict_proba method of the inference model, probability predictions are not normalized. As a consequence (because the model is additive), the output distribution will be correlated with the number of input features. I should add a normalization step (and potentially a flag to control this behavior) so that distributions across multiple users can be compared more easily without additional manipulation.