Normalize posterior
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kharrigian commented
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.